From Seeing to Understanding.
True visual intelligence starts with the ability to distinguish what is important from the background noise. Vidhance Object Detection uses advanced neural networks optimized for the edge to identify subjects in real-time. By transforming raw video into structured data, devices can identify and respond to what’s in the scene – automatically, in real time.
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Real-Time Classification: Identifies multiple object classes in real time, including people, animals and buildings, across a wide range of environments and lighting conditions.
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Optimized for the Edge: High-speed detection designed to run locally on the device, ensuring privacy, reducing bandwidth, and eliminating cloud latency.
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Low-Light Reliability: Engineered to maintain high detection accuracy even in challenging lighting conditions, weather interference, or cluttered environments.
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Seamless Integration: Works in perfect synergy with Vidhance Stabilization and Tracking to provide a complete, stabilized, and intelligent vision stream.
Impact Across Verticals
- For Consumer Devices: Smarter galleries and automated camera settings. Enable “Smart Shutter” features that trigger only when the perfect subject is detected and in frame.
- For Healthcare: Support clinical diagnostic workflows by automatically detecting specific regions of interest or ensuring all surgical instruments are accounted for in real-time.
- For Defense & Security: Enhance situational awareness by automatically flagging automatically flagging objects of interest in complex scenes. Reducing the cognitive load on the viewer by highlighting relevant objects in complex video feeds.
Technical Edge
Intelligence Without Compromise: Most detection algorithms are power-hungry. Vidhance Object Detection is built on our “Close-to-Hardware” philosophy, delivering state-of-the-art AI inference with a minimal power footprint—making it ideal for battery-powered drones, wearables, and mobile devices.
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