Computer Vision Solutions
Automate quality control and defect checking with visual AI pipelines.
Solution Deep Dive
We build custom computer vision models to automate fabric defect detection, check products on assembly lines, track objects in warehouse cams, and read invoice fields. Ideal for textile mills and production lines.
Core Benefits
100% automated quality check (QA) at production speed
Immediate alert triggering on visual defect detection
Elimination of human error in visual checks
Structured data outputs from raw image/video inputs
Key Deliverables
- Fine-tuned custom vision model weights
- Real-time video processing pipeline scripts
- Structured output API endpoints
- Integrations with alert lights or buzzers
Technologies We Use
Target Industries
Implementation Roadmap
How we go from initial audit to production-grade automation.
Image Gathering
Capturing raw product/fabric pictures.
Labeling Data
Drawing boxes around defects (dataset labeling).
Model Training
Training YOLO or PyTorch vision models.
Hardware Integration
Connecting camera streams to the server.
FAQs
Answers to common service questions
What is YOLO?expand_more
YOLO (You Only Look Once) is a leading real-time object detection model that detects objects and defects in camera feeds instantly.
Can computer vision work in low light?expand_more
Yes. We configure specialized image preprocessing (contrast filters) and train models on low-light datasets to handle factory floors.