Computer Vision Development Company
CoderAxo specializes in building production-ready computer vision systems that turn cameras and images into actionable data. From real-time surveillance and object detection to demographic analysis and visual quality inspection, we help retail, healthcare, and industrial teams automate visual intelligence at scale.
Every camera in a store, warehouse, or clinical facility generates massive streams of visual information, but most of it goes unused. CoderAxo builds production-ready computer vision systems that transform video feeds into real-time business decisions. Our specialists train advanced deep learning models to identify objects, classify behaviors, monitor spatial occupancy, and track movement patterns. We build edge-based software that processes video data locally, minimizing internet bandwidth consumption and keeping data secure. Whether you are building smart checkouts for physical stores, monitoring patient safety in critical care wards, or auditing quality control on packaging lines, we write visual intelligence systems that automate visual auditing at scale.
Why choose CoderAxo for computer vision
We train models to run inference at 30+ frames per second directly on local edge hardware or cloud servers.
We optimize models using TensorRT and CUDA, maximizing performance on cost-effective NVIDIA GPUs.
No need to replace cameras. We stream video feeds directly from your legacy IP cameras using standard RTSP.
We execute face detection and foot traffic counting without storing any personally identifiable image data.
Our custom YOLO configurations achieve 95%+ classification accuracy in cluttered public environments.
Our computer vision process
Video Stream & Pipeline Audit
We review camera resolutions, network bandwidths, frame rates, and lighting conditions to structure the intake pipeline.
Dataset Annotation & Model Training
We compile bounding boxes, annotate video frames, configure YOLO or CNN baselines, and train vision models.
Edge & Cloud Pipeline Packaging
We containerize the vision engine using Docker, set up real-time stream handlers, and construct alert webhooks.
Calibration & Production Deploy
We adjust confidence thresholds in-store, minimize false alerts, and integrate outputs into your team dashboard.
Technologies we use
Industries we serve
Frequently asked questions
What computer vision applications do you build?
We build shoplifting detection, footfall analytics, demographic analysis, object detection, image classification, and visual inspection systems.
Which computer vision models do you use?
We work with YOLOv8, YOLOv11, custom CNNs, OpenCV, and transformer-based vision models depending on accuracy and speed requirements.
Can computer vision work with existing CCTV?
Yes. Our systems integrate with standard IP cameras and CCTV setups via RTSP protocols without requiring hardware upgrades.
How accurate are your detection models?
Our models achieve 95%+ accuracy in production environments, with continuous improvement through real-world feedback loops.
Do you offer on-premise deployment?
Yes. We support cloud, hybrid, and fully on-premise deployments depending on your data privacy and latency requirements.