Computer Vision Pipeline
Optimized preprocessing and feature extraction tailored for industrial camera feeds, supporting diverse resolutions and frame rates.
Our technology stack is engineered for low-latency industrial inference, robust edge deployment, and uncompromising data security.
Attention-Driven Convolutional Hierarchy
A proprietary AI architecture designed for industrial computer vision and real-time detection under challenging operating conditions. By combining convolutional neural networks with advanced attention mechanisms, the ADCH model focuses computational resources on the most relevant visual features, ensuring high accuracy even in low-light, occluded, or dynamic environments.
Patent application filed in France (Ref: FR2511477). Patent-pending technology. Status subject to official examination and applicable intellectual property procedures.
Optimized preprocessing and feature extraction tailored for industrial camera feeds, supporting diverse resolutions and frame rates.
Deployment on ruggedized hardware (e.g., NVIDIA Jetson platforms) ensures real-time inference without relying on external cloud connectivity.
Leveraging optimized runtimes (such as ONNX) to maximize throughput and minimize latency on edge devices.
Secure local processing ensures that raw video feeds are analyzed and discarded at the edge, transmitting only anonymized metadata and alerts.
Built with modern standards (e.g., FastAPI) to facilitate seamless, secure integration with existing PostgreSQL databases and enterprise systems.
Containerized architecture (Docker) allows for scalable, repeatable, and easily maintainable deployments across multiple industrial sites.
A secure Edge AI pipeline designed to transform industrial video streams into filtered safety events and operational intelligence.
RTSP / ONVIF video streams from industrial environments.
Local preprocessing and preparation of visual data close to the industrial source.
Attention-Driven Convolutional Hierarchy for industrial computer vision inference.
AI detections are evaluated against site-specific safety and compliance rules.
Relevant safety metadata and filtered events are transmitted through secure interfaces.
Safety events become actionable information for supervisors and connected enterprise systems.
Our engineering team can provide a technical deep-dive tailored to your infrastructure.
Contact Our Engineering Team