I will develop automated visual inspection and defect detection software
image analysis and machine learning developer
About this Gig
I will develop a custom visual inspection solution to automatically identify defects, irregularities, and quality issues in your products or production process. The system can work with images, recorded videos, or live industrial camera feeds and can be adapted to your specific products and inspection requirements.
I can develop solutions for scratches, cracks, dents, missing components, incorrect assembly, damaged parts, surface defects, product classification, quality grading, packaging inspection, dimensional checks, and other visual quality-control tasks.
I work with Python, OpenCV, YOLO, PyTorch, TensorFlow, deep learning, image processing, object detection, segmentation, classification, and industrial camera integration.
The solution can be designed for manufacturing lines, electronics, automotive components, machinery, packaging, food production, material inspection, and product sorting. I can also integrate the system with databases, APIs, existing software, or camera infrastructure.
Please contact me before ordering and share sample images or videos, the defects you want detected, and your inspection workflow so I can recommend the right approach.

