www.okinspect.ai

OK Inspect AI is a quality inspection platform powered by computer vision and deep learning, designed for manufacturing and construction industries. It automates defect detection, dimensional checks, and compliance auditing in real time by analyzing images from production lines and job sites. The system integrates with MES and ERP systems to create a seamless workflow from data capture to reporting, helping enterprises achieve zero-defect goals. Its standout differentiator is adaptive model learning, enabled by a built-in synthetic data generator that creates high-quality labeled datasets even with limited sample images. This cuts deployment time from weeks to hours. The platform also supports multi-modal inspection—visible light, thermal imaging, and X-ray—making it suitable for complex scenarios like metal casting defects, electronic solder joints, and concrete cracks. Edge computing and cloud hybrid architecture ensure high-concurrency processing. Typical use cases include surface defect screening on automotive assembly lines, rebar spacing verification in construction, foreign particle detection in pharmaceutical capsules, and bubble identification in solar panel lamination. Target users are quality managers, production supervisors, maintenance engineers in manufacturing, as well as QA engineers, safety supervisors, and project managers in construction firms. Flexible pay-as-you-go pricing and customized SLAs lower the entry barrier for large-scale quality upgrades. Technically, OK Inspect AI employs a hybrid YOLOv7 and Transformer model, achieving over 98.5% mAP on public datasets while supporting deployment on low-power edge chips. The company has retrofitted production lines for multiple Fortune 500 manufacturers and contributed to China’s smart construction standards. Its algorithm’s robustness under extreme lighting conditions has earned national metrology certification. The platform continuously updates its adaptive fine-tuning to expand defect categories each quarter.