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) into physical factory conveyor belts and PLC hardware through a target sub-5ms TensorRT edge pipeline.
CLOUD LATENCY FAILS ON FACTORY LINES
Cloud AI APIs can be unreliable on high-speed factory conveyor belts because of network jitter and latency. Arsvix is being developed around edge hardware controllers designed to target visual inspection decisions in under five milliseconds and trigger local pneumatic ejection.
ARSVIX OS MODULES
- • High-Speed Camera Capture
- • YOLO Defect Detection
- • Target: 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
Prototyping sub-5ms pneumatic defect ejection for plastic container lines.
Connecting up to 8 high-speed industrial cameras into a single NVIDIA Jetson hub.