"Industrial artificial intelligence is surging forward, and the consumer electronics industry will continue to advance rapidly in the future. Machine vision, as the pearl on the crown of industrial artificial intelligence, will greatly assist the consumer electronics industry in improving quality, increasing efficiency, reducing costs, and reducing inventory. It is the core infrastructure for achieving industrial interconnection and intelligent manufacturing transformation and upgrading."

With the advent of Industry 4.0, 3C products have become indispensable in our work, study, and life. 3C products are the abbreviation for three types of products: computer, communication, and consumer electronics. In the production process of 3C products, it is necessary to confirm the processing quality, processing technology, process requirements, and finished product quality of the components to ensure compliance with certification standards.

3C products have fast iteration and high precision

Becoming a driving factor

The 3C electronics industry is experiencing rapid technological innovation, rapid product iteration, and short lifecycle, leading to an increasing frequency of consumer demand for 3C electronics and a gradual expansion of the 3C electronics market. The expansion of downstream market demand continues to stimulate the upgrading of testing business.

3C products need to go through many complex parts and multiple processes in the production process. Due to the wide variety of 3C products and significant differences in the structure, shape, and material of various components, traditional testing methods are difficult to adapt to the high rhythm and flexible production needs.

In the increasingly large market demand, if only manually detected and identified by the naked eye for a long time, it is extremely easy to cause damage to the human eye, and this kind of damage is irreparable. In this case, machine vision, due to its powerful anti-interference, high precision, safety, and high efficiency technological advantages, can effectively meet the huge market demand for detection and recognition.

With the increasing intelligence of electronic products and the increasing complexity of product structures, the production line‘s requirements for production efficiency and processing accuracy have significantly increased. The penetration rate of machine vision in the industry chain will continue to increase. To solve the visual problems in the production of 3C products, Qin Si Precision has launched a 2D/2.5D/3D vision+AI full stack machine vision solution, which can learn and identify surface defects and other information of 3C products, helping the electronic manufacturing industry to create unmanned and worry free factories, achieving cost reduction and efficiency improvement.

Qin Si Precision breaks through traditional barriers

Provide comprehensive solutions

Qin Si Precision adopts a machine vision system that integrates AI algorithms for detection, breaking through traditional machine vision barriers. It can automatically recognize items through reinforcement learning and other methods, thereby completing visual recognition, detection, measurement, and real-time positioning, making human-machine interaction more convenient and improving the convenience of detection.

The types of components in electronic products are complex, and the production process is complex. There is not only one type of defect produced by a single component of a single product, and there are often dozens of different types of defects in the production process, which are randomly distributed.

An AI intelligent detection system based on deep learning can ensure unified detection and recognition standards, provide feedback on production data, and promote process optimization. Different from traditional visual algorithms, the optimized algorithm can effectively solve problems such as high reflection and high brightness in the image acquisition process. It has fast recognition speed, high accuracy, and strong universality, and can solve visual problems in various 3C product production processes.

Qin Si Precision has a deep understanding of the needs of the 3C industry and has successfully built a 2D/2.5D/3D vision+AI full stack machine vision solution, providing comprehensive implementation cases, such as measuring the size of mobile SIM card slots, TWS Bluetooth earphone battery welding quality inspection, displaying foreign object detection in the pad area of the tablet, PCBA insert furnace welding quality inspection, mobile phone soft pack battery skirt cutting 3D guidance, etc. It can achieve stable detection and visualization at the same time, high accuracy, and effective detection of product quality, achieving a missed judgment rate of 0% and a misjudgment rate of ≤ 1%, meeting the fine and agile production management needs of 3C Electronics for multiple varieties and small batches.

Qinsi Precision‘s professional customized solutions can significantly reduce labor costs, while also improving production line yield and unit time output, thereby reducing overall manufacturing costs, supporting the future personalized needs of 3C electronic products such as thinness and irregularity, and driving more integrated innovation in process technology, meeting the upgrading needs of end consumers.

In the future, Qinsi Precision will continue to deepen its expertise in the field of machine vision, collaborate with more industry partners, increase research and innovation in related technologies, empower industrial quality inspection scenarios with AI, and assist in the intelligent upgrading of the 3C electronic manufacturing industry.