Edge AI Computing
Genovax Edge compresses the entire computer vision intelligence stack onto compact, low-power edge compute appliances running directly at the camera site.
![Genovaxai Real-Time Camera Feed - FEED: CAM-SOL-EDGE-COMPUTING [EDGE AI COMPUTING]](/images/product-edge.jpg "Genovaxai Optical Vision - FEED: CAM-SOL-EDGE-COMPUTING [EDGE AI COMPUTING]")
Manual Blind Spots & Delayed Alerts
Streaming raw 4K video feeds from remote sites or mobile vehicles to cloud servers consumes unaffordable bandwidth and introduces fatal latency lags.
Continuous Sub-Second Computer Vision
Genovax Edge compresses the entire computer vision intelligence stack onto compact, low-power edge compute appliances running directly at the camera site.
How Edge AI Computing Operates in Production
Camera wired via PoE directly to Genovax Edge appliance
Frames processed in INT8 on embedded Tensor Cores
Alert frames saved locally; lightweight JSON pushed via 4G/5G/Satellite
Central command receives actionable alerts with sub-second delay
Core Operational Features
- Full local inference with zero internet connection required
- Smart metadata uplink using <1% of raw video bandwidth
- Dynamic model switching based on environmental cues
- Encrypted localized storage with rolling tamper-proof overwrite
Technical Capabilities
- Operates within 7W - 40W power budget
- Industrial operating range: -40°C to +85°C
- Containerized microservices with self-healing restarts
- Full fleet remote orchestrator dashboard
Underlying GPU Pipeline Architecture
Zero-Memory-Copy Accelerated Architecture
Computer Vision Pipeline
Extracts high-dimensional spatial feature representations across industrial machinery, workers, gear, vehicles, and hazardous boundaries.
- Dual-backbone feature pyramid networks for micro-object detection
- Pose keypoint extraction for ergonomics and slip-and-fall alarms
- Multi-head classification for sub-category asset discrimination