FindFace
NtechLab platform processes video and recognizes human faces, bodies and actions, as well as cars and plate numbers. AI-powered technology enables record breaking accuracy and high speed of recognition. The multi-object and analytical capabilities of FindFace Multi unlock new scenarios for responding challenges of public sector and business. FindFace Multi quickly and accurately recognizes faces, human bodies, cars, and license plate numbers in a live video stream or in a video archive. Searching for faces, bodies, and vehicles in a database or in an archive is available both by a photo sample and by specific features, for example, by age, clothes color, or vehicle model. NtechLab developers are constantly improving recognition algorithms, increasing their performance and accuracy. With FindFace Multi it takes less than a second to detect a face in a video stream, recognize it, and search for a match in a database with billions of images.
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InfiEye
AI-video analytics enables your store managers to identify and prevent store shrinkages as well as inventory thefts, as soon as they happen. With InfiEye AI, you can improve your in-store shopping experience by identifying fast-selling SKUs on retail shelves and easily monitor in-store customer behaviors. Integrable with your existing in-store PoE cameras. Place your cameras at points you want to monitor, be it the overhead of checkout counters, countertop, on retail shelves, or at the store's entry and exit points. Image recognition algorithm processes live in-store feeds, frame by frame, to accurately identify every object on the shop floor. Evidence-based alerts are sent to the store staff to intervene in a friendly manner. Monitor inventory stock-outs or overstocking, and track sales performance of each store. Reduce store shrinkages and improve net-sales output of every store.
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Agent Vi
Agent Vi’s video analytics solutions rely on a variety of patented technologies and unique knowledge and capabilities in the fields of software architecture, computer-vision, deep learning and AI. The core of Agent Vi’s technology is its distributed architecture, which distributes the video processing task between an edge-device and a server, enabling optimal utilization of the processing elements at each end, reducing bandwidth between both ends as well as hardware costs. Agent Vi’s unique deep-learning implementation leads to the lowest ratio of hardware cost per camera, compared to other software solutions. This architecture can be implemented in the public cloud as well as in private networks. On top of its classification model, Agent Vi™ developed a broad set of video analytics functionalities, including rule-based real-time event detection, autonomous anomaly detection, video forensics and statistical analysis under a single software platform.
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IBM Video Explorer Platform
Video Explorer Platform is a full functionality platform for video analytics (computer vision) application development and deployment. It provides an application framework that could be configured and customized to adapt to customers’ business requirements and further integrate with customers’ business systems. It could enable an enterprise to land a video analytics solution in a very short time. Co-worked with another asset the IBM Visual Builder (IVB), the customer could benefit from one-station video analytics application development and deployment, which include image labeling, image augmentation, training, validation, and publishing to Video Explorer Platform. Provides a full functionality platform of video analytics application development and deployment, including data source management (video devices, images, offline video materials), real-time video browsing, image / slip extraction, storage, model mapping, event processing rule configuration, etc.
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