Custom YOLO & Object Detection
Vision AI for Industrial Automation & Safety
We build custom-trained YOLO object detection applications designed for industrial speed, accuracy, and efficiency. From factory QA inspection to real-time warehouse safety monitoring, we deliver end-to-end vision solutions.
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Why Choose Custom Vision AI?
Off-the-shelf AI models fail in specific industrial contexts. We build customized datasets and train YOLO models to detect exactly what you need. Our pipelines handle real-time video streams, optimizing frame resizing, letterbox padding, and safety margins to guarantee high-accuracy detections under any lighting condition.
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"Custom-trained YOLO models bring near-human visual accuracy to your automation pipelines, running at 30+ FPS directly on the edge."
Optimized Frame Pre-processing & Inference
For industrial deployment, model efficiency is critical. We build preprocessing layers that manage image resizing (e.g., scale-to-fit 640px) while preserving aspect ratio through smart padding. By adjusting overlap margins and IoU thresholds, we minimize false alarms and ensure consistent safety-critical detection.
Specialized Modules
Custom YOLO Model Training
Custom training YOLOv8/v10/v11 on your specific dataset with specialized annotations.
Industrial QC Inspection
Automate surface defect detection, sizing check, and count sorting on conveyor belts.
Real-time PPE & Safety Alerts
Detect helmet, safety vest, and glove compliance to prevent hazard accidents in real-time.
Edge & Cloud Deployment
Deploy optimized models on NVIDIA Jetson with custom frame resizing and padding rules for low latency.
The Technology Stack
We leverage the most advanced tools and frameworks to ensure your solution is fast, secure, and ready for the future.
YOLOv8 / YOLOv10
Object Detection
PyTorch
Model Training
OpenCV
Image Processing
NVIDIA TensorRT
Inference Speed
Python
Core Development