Achievement Case: Visual Guidance Adhesive Project

Visual guidance adhesion achieves automation of complex, high-precision pasting, coating or assembly operations by integrating a machine vision system and dispensing equipment. Before operation, the industrial camera will quickly take photos of the product's reference points or target areas. The visual software analyzes the collected images in real time, accurately calculating the current actual position, angle of the product, and the deviation from the theoretical position. The control system uses the deviation data provided by the visual system to dynamically adjust the path of the robotic arm or motion platform, guiding the dispensing head to accurately reach the real target position for the pasting operation. The main advantages are: extremely high precision and consistency, strong adaptability and flexibility, significant improvement in production efficiency, realization of complex processes and quality control, and reduction of overall costs.

2) The alignment accuracy of the adhered film can reach ±0.02mm to ±0.1mm, far exceeding the level of manual operation. It completely avoids quality fluctuations caused by eye fatigue and mood swings, significantly improving the product yield rate.

3) Achieve 7x24-hour uninterrupted high-speed operation, and the production cycle (time for producing one unit) can be increased by more than 30%.

4) Reduce the reliance on skilled operators. One piece of equipment can replace the labor of 2-3 workstations. The high yield rate directly reduces the material loss caused by scraps and rework.

In modern manufacturing, many processes require high-precision alignment, assembly, or alignment of two or more components. Traditional manual operations or purely mechanical positioning methods cannot achieve high precision, inconsistent incoming materials, and low efficiency. Therefore, visual guidance attachment technology has emerged. It replaces human eyes with machine vision for positioning and detection, guiding robots or motion platforms to perform precise operations, becoming a key link in achieving intelligent manufacturing.

Key technologies:

1) Appropriate hardware models, including industrial cameras (resolution, frame rate), lenses (focal length, depth of field), and light sources (ring light, backlight, coaxial light, etc.). Suitable hardware is the basis for obtaining stable, clear, and high-contrast images, especially the light source scheme, which is crucial for the success of feature extraction.

2) In terms of visual processing algorithms, through template matching, Blob analysis, edge extraction, geometric search, etc., accurately identify the feature points of the workpiece to be attached and the target position. Through coordinate calculation and coordinate transformation, process the coordinate data. The robot adjusts the posture and position of its end effector (suction cup, gripper, etc.) in real time based on the received offset instructions, and compensates for the motion trajectory.