Alternatives to OpenCV

Amazon Rekognition allows you to easily add image and video analysis into your applications using proven, highly-scalable, deep learning technology that does not require any machine learning expertise. Amazon Rekognition allows you to identify objects, people and text in images and videos. It also detects inappropriate content. Amazon Rekognition can also be used to perform facial analysis and facial searches. This is useful for many purposes, including user verification, people counting, public safety, and other uses. Amazon Rekognition Custom Labels allow you to identify objects and scenes in images that meet your business requirements. You can create a model to help you classify machine parts or detect plants that are sick. Amazon Rekognition Custom Labels does all the heavy lifting for you.

Data platform for vision AI that is enterprise-grade. Dataloop is an all-in-one solution for building and deploying powerful computer-vision pipelines. It automates data ops, data labeling, data ops, customizing data pipelines, and weaving the human-inthe-loop for data validation. Our vision is to make machine-learning-based systems affordable, accessible, and scalable for everyone.

SimpleCV is an open source framework for building computer vision apps. It allows you to access many powerful computer vision libraries, such as OpenCV. You don't need to know about bit depths or file formats. This is computer vision simplified. These are just some of the many things you can do using SimpleCV. For more information, please see our tutorial. You can also download many examples from the SimpleCV directory located under the examples folder. SimpleCV is an open source framework. This means that you can use it to create vision applications. It allows you to work with images or video streams from webcams or mobile phones, Kinects and FireWire, as well as IP cameras or mobile phones. It allows you to create software that will allow your different technologies to not only see the world, but also understand it.

By embedding vision capabilities into your apps, you can increase content discovery, automate text extract, analyze video in real-time, and create products that more people will use. Visual data processing can be used to identify content with objects and concepts. It can also generate image descriptions, extract text, and moderate content. It can also be used to understand people's movements in physical spaces. You don't need to have any machine learning skills.

AutoML Vision provides insights from images at the edge and cloud. Pre-trained Vision API models can also be used to understand text and detect emotion. Google Cloud offers two computer vision products, which use machine learning to help understand your images with an industry-leading prediction accuracy. Automate the creation of custom machine learning models. Upload images, train custom image models using AutoML Vision's intuitive graphical interface, optimize your models for accuracy and latency, and export them to your cloud application or to a range of devices at the edge. Google Cloud's Vision API provides powerful pre-trained machine-learning models via REST and RPC APIs. Assign labels to images and classify them quickly into millions of predefined groups. Detect faces and objects, read printed and handwritten texts, and add valuable metadata to your image catalog.

See your business from a new perspective! Kibsi, the no-code platform for computer vision, allows you to create and launch video AI in minutes instead of months. You can stretch your tech without spending a fortune. Kibsi transforms any live stream camera into rich streams of data and insights. View live data, uncover patterns, trigger alerts and automate actions to empower analysts and business executives with real-time analysis and historical understanding. Kibsi adds context to computer vision and relational rules through proprietary algorithms and machine learning. Kibsi’s drag-and-drop, no-code experience helps you get answers faster. Computer vision programmers or developers are welcome, but not required. You can get insights immediately with 1000s of built-in classes and objects. Adding your own objects to the system is also easy and automated.

Folio3 has a dedicated team of Data Scientists and Consultants who have completed end-to-end projects in machine learning, natural language processing and computer vision. Companies can now use highly customized solutions with advanced Machine Learning capabilities thanks to Artificial Intelligence and Machine Learning algorithms. Computer vision technology has revolutionized the way companies use visual content. It has also made it easier to analyze visual data and introduced new functions that are image-based. Folio3's predictive analytics solutions produce fast and effective results that allow you to identify anomalies and opportunities in your business processes.

Chooch is a leading provider of AI Vision solutions that combine Generative AI with computer vision to make cameras smart. Chooch's AI Vision technology automates manual visual review tasks to gather real-time actionable data for driving critical business decisions. Chooch has helped customers deploy AI Vision solutions for workplace safety, retail loss prevention, retail analytics, inventory management, wildfire detection, and more.

Eos is an embedded vision solution that increases vision system robustness in all circumstances by up to 3x. It can be customized quickly to any camera lens/sensor configuration, or multi-sensor fusion. Atlas is the industry's first set machine learning tools and workflows that automatically optimize camera architectures for optimal image quality and computer vision in just days. Eos has a highly optimized architecture at the end and an innovative AI deep learning framework. This uniquely addresses the challenges of perception under harsh conditions. This allows for model training to be done in a fraction of the time and costs. It also eliminates processor and sensor lock-in that is not possible with current deep learning methods. Perception software allows end-to-end learning for computer vision systems. Customers can easily adapt existing datasets to meet new system requirements. This allows for reuse and reduces effort and costs compared to existing training methods.

AWS Panorama devices integrate seamlessly with your local area network to add computer vision (CV), to your existing camera fleet. You can make local predictions with high accuracy and low latency using a single management interface. This allows you to analyze video feeds in milliseconds. You can process video feeds at the edge to control where your data is stored, and work with limited internet bandwidth. AWS Panorama is a collection machine learning (ML), devices, and a software development tool (SDK), that bring CV to on-premises IP cameras. Track throughput and optimize freight operations. Recognize parts and products. Text in labels or barcodes can be added. You can monitor traffic lanes and send alerts to staff in real time to keep traffic moving. You can quickly detect manufacturing anomalies and take corrective actions to decrease costs.

Create a custom computer vision model in minutes. AI Custom Vision is part of Azure AI services and allows you to customize and embed the latest computer vision image analysis in specific domains. Create frictionless customer experiences. Optimize manufacturing processes. Accelerate digital marketing campaigns. No machine learning knowledge is required. Set your model to recognize a specific object for your application. Easy to build your image identifier using the simple interface. Upload and label a few images to start training your computer vision models. The model will test itself and improve its precision as you add more images. Use customizable, built-in retail, manufacturing, or food models to speed up development. Minsur, the world's largest mine of tin, uses AI Custom Vision to achieve sustainable mining. You can rely on enterprise-grade privacy and security for your data.

Deep learning algorithms offer the best accuracy and speed on the market. No development costs required to implement cutting-edge vision automation. Intuitive web interface allows you to create powerful and custom image recognition programs. We constantly improve the underlying machine-learning algorithms to keep you up-to date. Create a custom neural network that recognizes your images. Ximilar acquired Vize to make it faster, more efficient, and add business-critical features. Visit the Ximilar Homepage for more information.

AlwaysAI offers developers a simple and flexible way for them to create, train, and deploy computer-vision applications to a wide range of IoT devices. You can choose from a variety of deep learning models, or upload your own. Our flexible and customizable APIs make it easy to quickly enable core computer vision services. You can quickly prototype, test, and iterate using a variety camera-enabled ARM32, ARM64, and x86 devices. Identify objects in an image using their names or classifications. Identify and count objects in real-time video feeds. Follow the same object through a series of frames. To count or track faces or complete bodies in a scene, locate them. Identify and draw borders around objects. You can separate the key objects from the background visuals in an image. Determine human body postures, fall detection, and emotions. To train an object detection model, use our model training toolkit. You can create a model that is tailored to your particular use-case.

You can train your own models, access pre-trained computer vision models, and templates for creating AI apps. You can start creating your own dataset to detect objects by adding images of the object. Each dataset can contain up to 5000 images. Images are automatically added to your dataset and pushed into training. You will be notified once the model has finished training. To use your model for detection, you can simply download it. For quick coding, you can also add your model to one of our pre-existing templates. Our mobile app, which is available for both Android and IOS, uses the power of computer vision in order to assist people with complete blindness in their daily lives. It can alert you to dangerous objects and signs, recognize common objects, recognize text as well currencies, and understand basic scenarios using deep learning.

With just 30 images, you can quickly create a machine-learning (ML) model that will spot anomalies in your live process line. Identify visual anomalies immediately to reduce defects and improve product quality. Visual inspection data can be used to detect potential problems and take corrective actions. This will prevent unplanned downtime and lower operational costs. You can spot damage to the product's surface, color, or shape during fabrication and assembly. Based on the presence, absence, or placement of objects (e.g. a missing capacitor on a printed circuit board), you can determine what is missing. Detect defects that have repeating patterns, such repeated scratches on the same spot on a silicon wafer. Amazon Lookout for Vision, an ML service that uses computer visualisation to spot defects in manufactured products on a large scale, is called Amazon Lookout for Vision. Computer vision is used to spot product defects and automate quality inspection.

SightBit provides an AI-powered solution for enhancing safety and security around open water by "reading" the water using off-the-shelf video cameras. The company’s proprietary deep-learning AI models and computer vision technology enable capabilities including object detection and classification, drowning detection, hazard detection and prediction, object penetration detection and pollution detection. SightBit’s technology detects, monitors, and provides alerts regarding events such as rip currents, inshore holes and vortexes while simultaneously providing management capabilities. The company’s solution can easily be deployed without the need for sensors, edge processors, or customization. SightBit’s system sends real-time information to monitors in various control rooms, sounding alarms when people are in danger, notifies personnel when a security breach is taking place, and alerts to pollution spills in the water as well as provides immediate prediction to the pollution spread.

Our fully managed solution makes it easy to create training datasets for computer-vision models. Data labeling is a key factor in creating effective deep learning models. We aim to be the industry's most trusted data labeling platform, helping companies fully take advantage of AI's potential. You can organize your media using discrete categories. You can identify items of interest using one or more bounding boxes. Similar to bounding boxes but with more precision. You can annotate objects with precise width, depth, height. Each pixel in an image should be classified. Each point in an image should be marked. Annotate straight lines within an image. Measure, yaw and pitch the item of interest. Annotate timestamps in audio and video content. Annotate lines that are not defined in an image.

Our technology transforms a webcam into an Accurate Eye-Tracker. High precision eye tracking is possible thanks to advances in machine learning and computer visualisation. Your research can be taken outside the lab to scale up to a large group of participants. Behavior Analytics Made Simple. Website Eye-Tracking Heatmaps and More

Sybrin AI is an integrated technology stack that combines machine learning, computer vision, and data science to intelligently automate business processes. Comprehensive framework for extracting data from non-traditional data sources such as documents, images, video, and videos. Real-time ID capture and extraction from any ID document anywhere in the world. Sybrin intelligent document capture allows you to integrate image capture, clean-up, recognition, data extraction, and data extraction into any application. To prevent spoof attacks and verify that the remote contact is real, active or passive liveness detection uses image processing techniques and neural network to detect if the person behind it is real. Sybrin Identity Verification validates that the person is real by matching their identity documents against a live selfie or third-party database.

Our Computer Vision API can be easily integrated into your app to add Machine Learning magic. Inferdo is proud of our ability not only to provide state-of the-art, pre-trained deep-learning models but also our ability serve them efficiently at scale. This means that we can pass on the savings to you! We'll take care of the rest by simply sending an image URL to our API. To flag inappropriate content in your images, you can use our Content Moderation API. This model can detect nudity in images and NSFW content, both drawn and real. Compare our API costs with our competitors. Our Image Labeling API allows you to add semantic labels to images. This model can classify thousands upon thousands of unique labels in a variety of categories. Our Face Detection API can be used to locate human faces within your images. You want more information? Use our Face Details API to find out more about faces, gender, age, or other facial features.

FabImage Studio Professional, a data-flow-based software for machine vision engineers, is available. It doesn't require programming skills but it is so powerful it can win even with low-level programming libraries. The architecture is also highly adaptable, so users can adapt it to their work style and specific project requirements.

SKY ENGINE AI is a simulation and deep learning platform that generates fully annotated, synthetic data and trains AI computer vision algorithms at scale. The platform is architected to procedurally generate highly balanced imagery data of photorealistic environments and objects and provides advanced domain adaptation algorithms. SKY ENGINE AI platform is a tool for developers: Data Scientists, ML/Software Engineers creating computer vision projects in any industry. SKY ENGINE AI is a Deep Learning environment for AI training in Virtual Reality with Sensors Physics Simulation & Fusion for any Computer Vision applications.

Our world-class computer vision capabilities bring augmented reality experiences to life. Real-time detection of human body in images and videos. Multi-person detection, half body detection, position framing, key point output and multi-person detection are all possible. It detects 18 key points on the body, including the head and shoulders, as well as the feet and other parts. Tracks movements like hand raising, bending, jumping, and many more. BytePlus Effects products, powered by industry-leading algorithms are extremely efficient in computing power consumption and provide unrivalled accuracy and performance. Our software is used by hundreds of millions of users, such as Ulike and TikTok, to deliver best-in-class performance. Our engineers are constantly updating algorithms while our service team provides reliable support.

You can build and scale your computer vision model quickly and easily. NeuCore makes it easy to develop, train, and deploy your computer vision model in just minutes. You can scale it up to millions of times. One-stop platform that manages all aspects of the model lifecycle including training, development, deployment, maintenance, and maintenance. Advanced data encryption is used to protect your information throughout the entire process, from training to inference. Fully integrated vision AI models can be easily integrated into existing systems and workflows, or even onto edge devices. Seamless scaling allows for your evolving business needs and business requirements. Splits an image into sections that contain different objects. Machine-readable text extracted from images. This model can also be used to read handwriting. NeuCore makes it easy to build computer vision models. It's as simple as one-click and drag-and-drop. Advanced users can access code scripts and watch tutorial videos to customize the software.

The best platform for the entire lifecycle of computer vision. You can go from image annotation to precise neural networks in 10x less time. Our best-in-class data labeling software transforms images, videos, and 3D point clouds into high-quality training data. You can train your models, track experiments and visualize the results. Our self-hosted solution guarantees data privacy, powerful customization capabilities and easy integration into any technology stack. Computer Vision is a turnkey solution: multi-format data management, quality control at scale, and neural network training in an end-to-end platform. Professional video editing software created by data scientists for data science -- the most powerful tool for machine learning and other purposes.

Our vision AI platform was built from the ground up to simplify your machine learning projects. It allows you to develop video analytics applications quickly and effectively. Plainsight is a platform that allows you to quickly create vision AI-powered solutions across all industries. It's easy to use and doesn't require any code. One interface allows you to connect, manage, and control sensors, cameras, and edge devices. To provide a high-quality foundation for models, collect accurate training datasets. Smart polygon selection, predictive labeling, and automated object recognition can accelerate labeling. A breakthrough process that reduces the time it takes to create AI solutions for vision is able to quickly train models. Rapidly deploy and scale applications on-premises, in the cloud, or at the edge to meet your business needs.

A powerful labeling platform for all stages and types of ML development. We leverage a suite of industry-leading computer vision algorithms to automatically detect and classify the content of your images and videos. Creating detailed segmentation information is a time-consuming process. Machine assistance speeds up task completion by as much as 70%, saving you both time and money. We leverage ML to propose labels that accelerate human labeling. This includes computer vision models to automatically detect, localize, and classify entities in your images and videos before handing off the task to our workforce. Automatic labelling reduces workforce costs and allows annotators to spend their time on the more complicated steps of the annotation process. Our video annotation tool is built to handle 4K resolution and long-running videos natively and provides innovative features like interpolation, object proposal, and entity resolution.

Built on the foundation of real AI, Quantarium's innovative-yet-explainable solutions enable more accurate decision making, comprehensively spanning valuations, analytics, propensity models and portfolio optimization. Real estate insights that provide the most accurate information about property trends and values. Industry-leading, highly scalable, resilient and next-generation cloud infrastructure. Quantarium's adaptive AI computer-vision technology is trained from millions of real estate photos and then integrated into a variety of QVM-based solutions. Our managed data set, which is an asset in the Quantarium Data lake, is the most dynamic and comprehensive in the real estate industry. This data set is machine-generated and AI-enhanced. It was curated by AI scientists and data scientists, as well as software engineers and industry experts. It is the new standard for real estate information. Quantarium combines deep domain knowledge, self-learning technology, innovative computer vision, and a wealth of industry expertise.

Alfi, Inc. engages in creating interactive digital out-of-home advertising experiences. Alfi uses artificial intelligence and computer vision in order to better serve ads. Alfi's Ai algorithm, which is proprietary to the company, can detect subtle facial cues and perceptual details in order to determine if potential customers are a good candidate for a product. The automation is completely anonymous and does not track, store cookies or use identifiable personal information. Ad agencies can access real-time analytics data, including interactive experiences, engagement, sentiment and click-through rates that are otherwise unavailable for out-of-home advertisers. Alfi, powered AI and machine learning, collects data that allows for better analytics and relevant content to improve the consumer experience.

The Descartes Labs Platform was created to address some of the most pressing geospatial analysis questions in the world. The platform allows customers to quickly and efficiently build models and algorithms that transform their businesses. We help AI become a core competency by providing data scientists and their line of business colleagues with the best geospatial and modeling tools in one package. Our massive data archive and their own data can be used by data science teams to create models faster than ever before. Our cloud-based platform allows customers to rapidly and securely scale machine learning, statistical, or computer vision models to inform business decisions using powerful raster-based analytics. Our extensive API documentation, tutorials and guides, as well as demos, provide users with a rich knowledge base that allows them to quickly deploy high-value apps across a variety of industries.

Provides powerful insights into human activity 3motionAI brings together the power of machine learning, computer vision, and artificial intelligence to allow organizations to assess, capture, and make recommendations based upon performance insights. Any video source can be used to record human activity, even mobile phones. Upload your videos immediately to the 3motionAI platform to perform activity-specific analysis. The artificial intelligence NeuroNet engine processes videos, flagging performance and risk limitations. Compare the data with pre-configured population norms, or customize API to your specific criteria. Get actionable insights. You can create custom recommendations, drills and safety measures. Video, PDF, and standard reports are all shared formats. AI-driven human dynamics can help you identify injury risk and improve human performance. AI-based analysis is simplified and cost-effective.

Voxel51, the company behind FiftyOne is responsible for the open-source software that allows you to create better computer vision workflows through improving the quality of datasets and delivering insights into your models. Explore, search and slice your datasets. Find samples and labels quickly that match your criteria. FiftyOne offers tight integrations to public datasets such as COCO, Open Images and ActivityNet. You can also create your own datasets. Data quality is one of the most important factors that affect model performance. FiftyOne can help you identify, visualize and correct the failure modes of your model. Annotation errors lead to bad models. But finding mistakes manually is not scalable. FiftyOne automatically finds and corrects label mistakes, so you can curate better-quality datasets. Manual debugging and aggregate performance metrics don't scale. Use the FiftyOne Brain for edge cases, new samples to train on, and more.

Ambient.ai's computer vision intelligence transforms security tools, operations, and outcomes, allowing physical security teams to move from reactive to proactive operations. Computer vision is changing how humans and machines work together in the real world. Computer vision increases human productivity by automating repetitive tasks. We are a team consisting of computer vision and machine perception experts who apply cutting-edge research to the physical security needs of organizations. The trade-off between privacy and security is a false dichotomy. You can respect privacy while increasing group security. We don't and won't use facial recognition.

EV Lib is an embedded vision software library that uses deep learning and AI. It includes functionalities for people and vehicles, object detection, identification tracking, 3D pose estimation, and vehicle and object tracking.

Forge Lab provides AI training and simulations for vision-guided robots in a fast and convenient way. Manufacturing engineers can test their automation strategies and receive ready-made vision programs. AI-powered vision can lead to huge improvements in product quality and reliability. This includes retrofitting existing cells or new cells, as well as manual processes. AI-driven vision makes robotic cells more productive and reliable. Now you can use vision-guided robots with less risk and expertise. Vue software will change robotic guidance, bin-picking, assembly, and more at your facility. The AI will learn to understand the parts so that the robot can make the most efficient, safest and reliable movements to handle them. Vue knows how to avoid collisions in the operating area even when the object is in hand. The AI can accurately and precisely place the object or assemble it together with another object, since it understands the way the object was picked up.

IMPACT Software Suite has over 120 inspection tools and 50 controls for user interfaces. This suite allows users to quickly create unique inspection programs and easy-to-use user interfaces. This is possible without sacrificing flexibility or requiring a lot of development time. IMPACT Software Suite offers a Software Development Kit, (SDK), that allows for full integration of machine vision monitoring capabilities in HMI software applications. Vision Program Manager (VPM), provides hundreds of image processing, analysis, and optimization functions. VPM can be used to enhance images, measure objects, detect presence or absence of features, read text and bar codes, and locate and measure them. Control Panel Manager (CPM), simplifies the development of operator interfaces and allows for quick adjustments to critical machine controls. CPM creates operator interface panels that allow you to view and adjust critical machine control. The IMPACT Software Development Kit, (SDK), includes the following:

Your cameras can be used to analyze people, vehicles, crowds, and other objects in real-time. Your cameras can anonymously measure people, vehicles, and crowds in real-time. In one step, you can gather smart metrics from your IP/security camera. We handle the rest. Our technology is compatible with many types of cameras and operating system around the globe. Your AdDashboard is always with you, whether you are on the move, at work, or anywhere else. Share metrics that are important to you and your customers with AdDashboard. Our reputation as the industry's most trusted measurement firm has been earned by our strict privacy and reliability policies. We understand that you need to be able to access, use, and integrate real-time data intuitively. So we made it easy. Our computer vision infrastructure is able to meet all client needs and ensures the highest performance, regardless of how it is implemented.

Recogni unlocks new possibilities in perception processing Our vision recognition module (VCM) is based on a custom ASIC and can run deep-learning networks with incredible efficiency. This purpose-built solution allows cars to detect small objects over long distances and consume minimal battery power.

Lodestar is a complete solution for creating computer vision models from video data. The world's first active learning data annotation platform allows you to label hours of video and speed up the creation of high-quality datasets and computer vision models. Automated data preparation makes it easy to drag and drop 10 hours worth of video into one project. Multiple video formats are supported and no data curation is required. Annotators and data scientists can collaborate to create a functional object detection model within an hour by using continuous model training and a shared managed dataset. Every plan comes with unlimited labels.

Gravio allows you to connect and interact in new ways with your environment using the power of IoT and sensors, edge computing and computer vision. Gravio runs on Windows, macOS and Linux. You can connect to many inputs and outputs, including some bundled IoT sensors and computer vision/AI cameras as well as MQTT and HTTP APIs. Gravio requires no programming knowledge. Gravio unlocks connected technologies by connecting sensors and input devices, cameras and APIs to a space. This information is then continuously gathered and shared, allowing for new ways to interact, learn from, and enhance a physical environment. Gravio is a low-code/no code environment that allows entrepreneurs and organizations to create custom connected experiences in new and existing environments.

Inspired by you, driven by excellence. Eyeris' technology was created out of the needs of the caring parent, the late-night worker, and the aspiring entrepreneur. Our innovative technology is designed to make driving safer and more enjoyable for all drivers. In-Cabin cameras are used most often for driver and occupant monitoring. These cameras are used to interpret the interior scene using Eyeris AI Software. This allows you to gather data from different sensor types and interpret the scene with redundant information for high data accuracy. Hardware innovation is improving in order to run complex AI software in the fastest and most efficient manner. Our vision-based neural network provides the most rich source of information. Our pre-trained vision AI models are able to understand the entire interior space using the most recent image sensors and a wide range of lighting conditions.

Unleash Live is an A.I. video analytics enterprise solution provider. We combine any camera's vision with computer vision to provide actionable data in real time. This will give your company immediate insight to reduce costs, increase productivity, improve accuracy, and improve safety. You can connect a wide variety of cameras. Any combination of IP/CCTV/drone, body cam, mobile, or robotic cameras can be connected. You can live stream from the field, share it with your team, and upload footage to your account. A. I Apps can be downloaded from the app store to detect, inspect, monitor and monitor objects and items. You can also create 2D orthomaps or 3D models. You can integrate results into your operational workflow with notifications, API integrations, and live dashboards. Collaboration is simplified and made easier by removing the complexity and time involved. Instantly connect any combination of cameras to share via a live stream with stakeholders or third parties. All you need is a browser.

You can uncover valuable insights by accurately recognising objects in images or videos. AI can be used to drive value in many areas, including spotting products in the right spot in shopping aisles and surveilling people at events in real-time. You can perform in-depth analysis by placing image objects in the right segments. Insurers can use AI-based algorithms to analyze auto and home damage to make more accurate claims. Get instant insights and take action when it is most important. AI algorithms allow for real-time processing, which can be used for many valuable purposes, such as face recognition. You can identify customer behavior from video and see it in real time. AI can reveal how customers interact and engage with brands and products to provide better experiences. AI-based analytics can be applied to satellite images to detect traffic in real time, analyze parking lots, segment buildings, and more.

Alibaba Cloud Image Search is an intelligent search service that allows users to find similar images. The product is based on machine learning and deeplearning and allows end-users upload a photo or a screenshot to search for desired products and fulfill other requests.

Video Explorer Platform is a complete functionality platform for video analytics (computer visual) application development and deployment. It offers an application framework that can be customized to meet customer's business needs and integrate with their business systems. It could be used by an enterprise to quickly acquire a video analytics solution. The customer could also benefit from co-working with the IBM Visual Builder (IVB) to develop and deploy a one-station video analytics solution. This includes image labeling, image enhancement, training, validation, and publishing on the Video Explorer Platform. This platform provides a complete functionality platform for video analytics application deployment and development, including data source management (videos, images, offline videos materials), real-time browsing, image / slip extract, storage, model mapping, event processing rules configuration, etc.

Synthetic data is the key to a leading-edge technology that allows for flawless retail execution. Vision technology for consumer packaged products. Choose from a catalog of over 100,000 SKUs on the Neurolabs platform, including top brands like P&G, Nestle Unilever, Coca-Cola and more. Our API will automatically stitch together multiple shelf images uploaded by your field agents from their mobile devices. SKU-level detection gives you detailed information that can be used to calculate retail execution KPIs, such as out-of shelf rate, shelf share percentage and competitor price comparison. Discover how our cutting edge image recognition technology can maximize store operations, improve customer experience, and boost profits. Implement a real deployment in less than a week. Access image recognition datasets covering over 100,000 SKUs.

Reliable and adaptable computer vision systems that can be used in any factory. Every step of manufacturing is integrated with AI and image capture. Overview's inspection systems use deep learning technology, which allows us find errors more consistently in a wider range of situations. Remote access and support for enhanced traceability. Our solutions provide a visual record that can be traced back to every unit. It is easy to identify the root cause for production problems or quality issues. Overview can help you eliminate waste from your manufacturing operations, whether you're digitizing your inspections or have an underperforming vision system. See how the Snap platform can improve your factory efficiency. Deep learning automated inspection solutions dramatically improve defect detection. Superior yields, improved traceability, easier setup, and outstanding support.

Clarifai is a leading AI platform for modeling image, video, text and audio data at scale. Our platform combines computer vision, natural language processing and audio recognition as building blocks for building better, faster and stronger AI. We help enterprises and public sector organizations transform their data into actionable insights. Our technology is used across many industries including Defense, Retail, Manufacturing, Media and Entertainment, and more. We help our customers create innovative AI solutions for visual search, content moderation, aerial surveillance, visual inspection, intelligent document analysis, and more. Founded in 2013 by Matt Zeiler, Ph.D., Clarifai has been a market leader in computer vision AI since winning the top five places in image classification at the 2013 ImageNet Challenge. Clarifai is headquartered in Delaware

NtechLab platform processes video, recognizes faces, bodies, actions, cars, and plate numbers. AI-powered technology allows for record breaking accuracy and speed of recognition. FindFace Multi's multi-object and analytic capabilities open up new possibilities for addressing public sector and business challenges. FindFace Multi recognizes faces, bodies, cars, license plates, and other information in live video streams or archives. You can search for faces, bodies, or vehicles in a database, or in an archive, using a photo sample or by specific features, such as age, clothing color, vehicle model, or gender. NtechLab developers continue to improve recognition algorithms, increasing their accuracy and performance. It takes less than a second for FindFace Multi to recognize a face in a stream of video and then search for it in a database that contains billions of images.

Our platforms are a solid foundation for custom machine learning and artificial Intelligence solutions. Build next-best-action applications that learn, adapt, and optimize using reinforcement-learning based algorithms. Custom, continuously-improving deep learning vision models to solve your unique challenges. Forecasts that are up-to-date will help you predict the future. Cloud-based tools that monitor and analyze cloud data will help you make better decisions for your company. Experienced data scientists and engineers face a challenge in transforming a machine learning application from research and ad hoc code to a robust, scalable platform. With a comprehensive suite of tools to manage and deploy your machine learning applications, Strong ML makes this easier.