Recognition Science

Pattern Recognition and Artificial Intelligence

Automated Inspection

Recognition Science has pioneered advanced techniques for recognizing manufactured parts, configuring camera and lighting systems, developing high-precision calibration software, and creating algorithms for defect detection in automated inspection. Achieving high-quality recognition algorithms is crucial, but to maintain the very low false alarm rates necessary for an efficient machine vision inspection system, precise illumination and exposure control are also essential.

A top-down view of an integrated circuit board undergoing inspection. The circuit board features various components, including resistors, capacitors, and integrated circuits, with a more authentic and detailed appearance, avoiding a central CPU focus. Overlaid on the board is a HUD-style display highlighting a broken connector pin going into one of the major elements of the board. The interface includes indicators and annotations pointing out the fault, with a clean and professional design. One section of the overlay highlights something in red, indicating an error has been detected on the board, with the damaged connector pin in a bright red square and positioned off-center. The background is minimalistic, emphasizing the advanced technology used in the inspection process. The graphic overlay provides a clear, top-down perspective of the circuit board with the analysis happening directly on the surface. Only use red for the overlay on the faulty hardware, and ensure the faulty hardware is off-center. Make the red overlay brighter and more noticeable. Indicate one small problem on the board with the word ERROR.

Optimized Inspection Systems

In automated inspection systems, various factors such as camera resolution, camera perspectives, pointing accuracy, lighting colors, evenness, color temperature, polarization, and dynamic range must be meticulously considered. This holistic approach ensures accuracy and speed within realistic cost constraints. Our systems can inspect boards for the presence or absence of each part, as well as the precision of part placement, ensuring comprehensive quality control.