How to achieve accurate product positioning and automatic detection of dispensing deviation?

Zhixiang Shijue possesses mature skills in product positioning and detail identification within automated production. Our technicians frequently conduct product inspection tests, and their operations, including setting up vision inspection systems and configuring software parameters, are highly stable. Especially in applications such as electronics manufacturing, 3C assembly, and structural component bonding, any positional shifts during product transport or assembly, or issues like missed, misaligned, overflowing, or insufficient glue application, can directly impact subsequent processes and even the overall machine performance. Therefore, achieving stable, accurate, and automated inspection while continuously increasing production speed has become a crucial aspect of enterprise quality control.

To address the client's specific requirements for inspecting product positioning and whether dispensing was misaligned, our technicians built this machine vision inspection system based on a CU series monochrome industrial camera and a fixed-magnification industrial lens. This system combines a stable ring light source structure with an optimized lighting scheme, ensuring image clarity while improving image contrast and edge detection capabilities, providing a reliable image foundation for subsequent algorithm analysis.

In the product positioning and detection stage, the system uses a visual positioning algorithm to identify the product's outline or feature points, calculates the product's coordinate position and angle information in the image in real time, and compares it with preset standard values to determine whether there is a positional deviation. This method can effectively avoid positioning anomalies caused by transmission errors or assembly errors.

In dispensing inspection, the system focuses on high-precision imaging of the dispensing area, comprehensively judging the width, length, area of the dispensing trajectory, and its offset from the reference position. Through image grayscale analysis and contour extraction algorithms, it can accurately identify the following anomalies:

Overall dispensing offset

Local dispensing breakage or leakage

Dispensing overflow exceeding the set range

Insufficient or uneven dispensing amount

During actual testing, the system operated at a fixed working distance and under stable lighting conditions, producing clear and stable images. Even at fast production cycles, it maintained reliable detection accuracy. Detection results can be output to a host computer or production line control system in real time, enabling automatic judgment and sorting, significantly reducing manual re-inspection costs.

The application of this visual inspection solution has not only improved production line inspection efficiency but also enhanced product quality consistency and traceability, providing strong support for enterprises to build a more comprehensive automated quality control system.

In the future, we will continue to focus on the positioning and process inspection needs under complex working conditions, continuously optimizing visual hardware configurations and algorithm capabilities to provide efficient and stable machine vision solutions for more precision manufacturing scenarios.