Appsbee

Intelgic builds AI-based visual inspection systems for manufacturers pursuing zero defect production. Its work centers on Automated Optical Inspection (AOI), combining machine vision, industrial optics, and precision robotics to catch surface and structural defects that manual checks miss. Applications span automotive parts, medical devices, PCB boards, and metal or plastic components, with inspection systems designed to run on production lines rather than in isolated test environments.

The technical work draws on computer vision and ML model development to train detection systems on specific defect types, then moves through MLOps and deployment to get models running reliably in production. Data engineering pipelines feed inspection systems with the volume and consistency of images needed for microscopic-level defect detection, while systems integration connects vision hardware, robotics, and existing plant equipment. Application development rounds out the delivery, giving manufacturers usable interfaces for inspection results rather than raw model output.

Deliverables described in the work include automated metal parts quality inspection, large metal sheet inspection automation, and automating pipe counting for high-volume tracking tasks. Other projects cover industrial counting and tracking, barcode and QR code reading, and inventory movement tracking on production floors. For sensitive or intricate products, the inspection work extends to microscopic defect detection, addressing quality issues at a scale beyond what human inspectors can consistently catch.