VisionTrack
VisionTrack is an AI-powered video telematics platform that combines connected cameras, real-time fleet tracking, and advanced analytics to help organizations improve road safety, monitor driver behavior, and reduce operational risk. Its solutions integrate intelligent dashcams, mobile digital video recorders (MDVRs), and AI-driven video analysis to capture and upload critical footage and vehicle data instantly after collisions, near misses, or harsh driving events, giving fleet managers the full context they need to verify incidents and streamline claims management. VisionTrack’s multi-award-winning IoT platform processes and analyzes real-time data from a large network of connected devices to generate actionable insights that enhance driver performance, defend against fraudulent claims, support duty of care, and boost compliance with safety standards.
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3motionAI
Delivering powerful insights into human activity. 3motionAI binds the power of computer vision, artificial intelligence, and machine learning to enable organizations to capture, assess and make recommendations based on performance insights. Record human activity using any video source, including mobile phones. Upload videos instantly to the 3motionAI platform for activity-specific analysis. Videos are processed by the artificial intelligence NeuroNet engine, flagging risk and performance limitations. Compare data to pre-configured population norms or customize API with your specific criteria. Leverage actionable insights. Create custom recommendations, drills, safety measures, and solutions embedded into output. Shareable formats include video, PDF, and standard reports. Spotlight injury risk and enhance human performance with AI-driven human dynamics. Delivering the power of AI-based analysis with simplified integration and low-cost implementation.
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Google Cloud Vision AI
Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision API models to detect emotion, understand text, and more. Google Cloud offers two computer vision products that use machine learning to help you understand your images with industry-leading prediction accuracy. Automate the training of your own custom machine learning models. Simply upload images and train custom image models with AutoML Vision’s easy-to-use graphical interface; optimize your models for accuracy, latency, and size; and export them to your application in the cloud, or to an array of devices at the edge. Google Cloud’s Vision API offers powerful pre-trained machine learning models through REST and RPC APIs. Assign labels to images and quickly classify them into millions of predefined categories. Detect objects and faces, read printed and handwritten text, and build valuable metadata into your image catalog.
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BriefCam
The BriefCam® complete video content analytics platform drives exponential value from surveillance system investments by making video searchable, actionable and quantifiable. The unique fusion of VIDEO SYNOPSIS® and Deep Learning solutions enable rapid video review and search, face recognition, real-time alerting and quantitative video insights. Improves post-event investigation productivity by pinpointing people and objects of interest with speed and precision. Real-time alerting capabilities enable organizations to proactively respond to situational changes in their environment. Extract and aggregate video metadata such as men, women, children, vehicles, size, color, speed, path, and more, enabling users to quantitatively analyze their video. BriefCam’s comprehensive and extensive video content analytics platform is deployed by law enforcement and public safety organizations, government and transportation agencies, major enterprises, healthcare and educational institutions.
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