Computer Vision
Computer Vision · Engineering · Deployment
AtroLab engineers detection, tracking, segmentation, and analytics pipelines that run 24/7 on your hardware — on production lines, traffic cameras, and edge devices. From first prototype to live deployment, in weeks.
Projects
The areas below are based on hands-on team experience from real work history. Company names are intentionally omitted.
Work experience includes designing machine-vision pipelines for product grading and defect inspection using multi-camera capture, deep learning inference, and control integration.
Work experience includes traffic-object counting, speed estimation, and roadway condition analysis from concurrent camera streams for smart transportation workflows.
Work experience includes face emotion analysis, body-language understanding, age/gender estimation, and people tracking for video-based feedback and monitoring systems.
Work experience includes deploying and optimizing computer-vision models on edge hardware and production software stacks for stable real-time operation.
Technical capabilities
Scope is derived from team work experience across industrial inspection, transportation, behavior analysis, and edge deployment.
Detection and multi-object tracking in production lines, road scenes, and multi-camera environments.
Surface-defect and anomaly detection for products, containers, and vehicle-body inspection workflows.
Semantic/instance segmentation, geometric measurement, and depth-assisted scene understanding.
Activity analysis, motion patterns, counting, speed estimation, and event extraction from live video streams.
OCR, license plate detection/reading, and structured text extraction from camera images.
Deployment and optimization on edge hardware with Qt/C++, Python, ONNX, TensorRT, and Linux toolchains.
Lab notes
Posts will appear here after publication. We will share benchmarks, demos, and development notes as content becomes available.
Work with us
Tell us what you’re building. We scope fast, deliver with full documentation, and provide monitoring and support after launch.
