0.1mm Precision Automatic Grasping, SingTown Technology Empowers New Scenarios in Electronic Assembly

In the automated production lines of electronic assembly manufacturers, the feeding and placement of bulk SOP chips have always been one of the critical precision processes. Due to the random arrangement of chips, with varying orientations and angles on both sides, manual identification suffers from high error rates and slow speeds, affecting placement accuracy. Manufacturers aim to utilize SingTown Technology's OpenMV smart camera, employing embedded vision algorithms to quickly identify the position, angle, orientation, and Pin1 marker of SOP chips, and relay the data to robotic arms for automated grasping and placement. The identification area is approximately 200×200mm, within a distance of 200mm, primarily targeting SOP14/SOP16 chip types. The system must operate stably under complex lighting conditions, achieve millisecond-level identification feedback, and meet the dual requirements of real-time performance and high precision, providing an intelligent visual identification solution for electronic production lines.

Electronic assembly manufacturers have achieved significant results in the automatic identification and positioning of bulk SOP chips by using SingTown's OpenMV intelligent camera.

The system installs an OpenMV intelligent camera above the material tray to capture chip images in real time. Its edge-side AI utilizes machine vision algorithms to perform contour detection, morphological analysis, and orientation determination for SOP chips.

First, the image preprocessing module denoises and enhances edges, segmenting overlapping or rotated chips. Subsequently, the deep learning model, combined with template matching, quickly identifies chip models. Finally, the coordinate extraction module sends the precise X, Y positions and orientation information of each chip to the robotic arm, enabling automatic grasping and placement.

The operational results indicate that the OpenMV intelligent camera solution can achieve over 99% recognition accuracy in high-density bulk material scenarios, with single-chip positioning precision reaching the 0.1mm level, significantly enhancing assembly line efficiency and stability.

By introducing SingTown's intelligent cameras, manufacturers have not only achieved automated identification and precise positioning of bulk SOP chips through edge deployment but also effectively reduced labor costs and defect rates, providing a reliable and intelligent upgrade path for electronic assembly production.