VISENSE
Who Is the Company Behind VISENSE?
- Seller: VISENSE
- HQ Location: N/A
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LinkedIn® Page: www.linkedin.com
1 employees on LinkedIn®
Total Products under this Category: 664
Last updated: September 01, 2026
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Highlighted products: Google Cloud Vision API, Roboflow, Claude, Video AI, Google Cloud AutoML Vision, Microsoft Computer Vision API, Deepdream, and Amazon Rekognition.
Underlying data: [Grid® JSON](https://www.g2.com/categories/image-recognition/grids.json?focus%5B%5D=google-cloud-vision-api&focus%5B%5D=roboflow&focus%5B%5D=claude-2025-12-11&focus%5B%5D=video-ai&focus%5B%5D=google-cloud-automl-vision&focus%5B%5D=microsoft-computer-vision-api&focus%5B%5D=deepdream&focus%5B%5D=amazon-rekognition)
Gyrus Vision Analytics is a powerful suite of AI models designed to deliver actionable insights from video data - across factories, fleets, and retail environments. From detecting anomalies on the factory floor to tracking driver behavior and customer engagement, Gyrus empowers organizations to make smarter, faster, and safer decisions. Key Capabilities: 🔧 Factory Vision (Defect Detection) • Real-time anomaly detection for enhanced productivity. • Adherence to safety and operational standards. • Detect infrastructure defects in pipelines and grids. 🎥 Activity Tracking • 2D/3D modeling to monitor operational activities. • Scene detection and automated video summarization. • Structured Table of Contents for faster video review. 🚚 Fleet Analytics • Analyze road and driver behavior using dash and cabin cameras. • Detect distractions like phone use or drowsiness. • Combine video with GPS, speed, and sensor data for full context. 🛒 Retail Analytics & Adherence • Understand foot traffic and customer demographics. • Monitor safety compliance and uniform adherence. • Analyze customer behavior for better retail strategies.
If you’ve ever tried Night Mode on your phone, you’ll know that you can probably take a decent still photo in the dark, but capturing video is much more of a challenge. Visionary.ai empowers cameras to capture bright, sharp, full-color video in extreme low-light and HDR conditions. Our AI software ISP (Image Signal Processor) dramatically improves video quality, and also increases the accuracy and capabilities of machine vision applications. What’s more, we do this in real-time, using AI at the edge. Visionary.ai was founded by a team with years of experience pioneering real-time algorithms in computer vision, and the company was listed on CB Insights’ list of 100 Most Promising AI Startups, 2023. We're partnered with Qualcomm, Synopsys, Cadence, NVIDIA, and CEVA to run broadly across multiple market applications, including security, consumer electronics (laptop and mobile), mobility and automotive, IoT, and medical imaging. Our vision is to make cutting-edge image quality available to all cameras.
Visionbot offre alle aziende la possibilità di ottenere il massimo dai loro contenuti visivi, aiutando a derivare potenti intuizioni e guidando il processo decisionale.
AI vision in minutes, effortless! Build and deploy your own AI computer vision system. No coding. Under 10 minutes.
VisionPose is a high-precision AI pose estimation engine, which detects human skeleton information on camera images, still images and videos, without the need for markers. As an all-around SDK package, it can be applied to various fields in development and research, such as rehabilitation, motion capture, sports, or security.
VisionWave is a defense company offering developement of AI, aerospace engineering, Radio Frequency technology, and autonomous solutions.
Viso Now is an agentic computer vision platform that enables users to build and deploy real-world vision applications in minutes. Instead of collecting datasets, labelling images, selecting models or writing complex computer vision code, users can describe what they want to detect in plain language or upload a video clip. Viso Now then creates the vision application, including the video input, detection logic, rules and alerts. Powered by Visual General Intelligence (VGI), Viso Now can understand a wide range of objects, activities and situations without requiring a separately trained model for every use case. This makes advanced AI video analytics and visual automation accessible to developers, technical teams, innovators and business users who want to experiment with computer vision without managing a traditional machine learning workflow. Users can connect Viso Now to existing IP cameras, CCTV systems, video management systems, webcams and video files. The platform supports common video technologies such as RTSP and ONVIF, as well as media stored in cloud environments including AWS, Microsoft Azure and Google Cloud. Once an application has been generated, users remain in control. Detection rules, conditions, thresholds and outputs can be reviewed and adjusted before the application is published. Detected events can trigger real-time or scheduled notifications through Slack, Microsoft Teams and email. Events and associated media can also be sent to other business systems through direct API integrations. Viso Now can be used to create computer vision applications for workplace safety, operational monitoring, quality control, security, logistics, retail analytics, transportation, agriculture, smart infrastructure and many other scenarios. Example applications include detecting personal protective equipment, monitoring restricted areas, identifying objects or activities, analysing footfall, observing production processes and generating alerts when defined visual conditions occur. By combining generative AI, visual reasoning, video analytics and application automation in one platform, Viso Now reduces the time and specialist knowledge traditionally required to move from a computer vision idea to a working application. Users can begin with a free account, test use cases using their own video and quickly explore how AI-powered visual intelligence can support real-world operations.