ARSVIX
VISION OS
Industrial Computer Vision & Automation Venture. Building real-time conveyor inspection, defect ejection, and PLC edge AI telemetry.
INDUSTRIAL EDGE VISION AUTOMATION
Arsvix is an industrial automation technology brand created by gndme. It bridges deep learning computer vision models (OpenCV, PyTorch, YOLO) directly into physical factory conveyor belts and PLC hardware via sub-5ms TensorRT edge devices.
CLOUD LATENCY FAILS ON FACTORY LINES
Cloud AI APIs fail on high-speed factory conveyor belts moving at 120 RPM due to network jitter and latency delays. Arsvix was founded to build edge hardware controllers that process visual defect inspection on-device in under 5 milliseconds, triggering instant pneumatic ejection.
ARSVIX OS MODULES
- • High-Speed Camera Capture
- • YOLO Defect Detection
- • Sub-5ms TensorRT Inference
- • Pneumatic Ejection Trigger
- • Siemens / Mitsubishi PLC Bridge
- • Real-time Conveyor Telemetry
- • Defect Heatmap Analytics
- • Automated Edge Re-training
- • Yield Loss Audit Log
FUTURE ROADMAP
Deploying sub-5ms pneumatic defect ejection on plastic container lines.
Connecting up to 8 high-speed industrial cameras into a single NVIDIA Jetson hub.