The automotive industry is a high-tech industry with a relatively high degree of automation. Many advanced automation technologies have been successfully applied to various production processes in the industry. Many aspects of automobile manufacturing have been unmanned. This requires a reliable inspection technology to verify the correctness of each assembly and the eligibility of the assembled parts. Machine vision technology has become the first choice for automatic detection systems with its unique technological advantages.
In recent years, Shanghai Bo Electric Co., Ltd. has successfully established cooperative relationships with a number of customers in the automotive industry, including well-known automobile companies, automotive electronics companies, auto parts factories and equipment suppliers. In addition to the traditional application examples of machine vision such as dimensional measurement, reading code, part miss-loading, glue detection, automobile instrument panel detection, and spark plug detection in the automotive industry, our company successfully applied machine vision to the color detection of automotive rearview mirror housings. Seat handle leather misfit detection.
First, the car rearview mirror shell color detection
The industry standard and characteristics of rearview mirrors are important safety parts for the rearview mirrors of the car. Its mirrors and appearance are quite particular. As shown in the picture, Shanghai Bochuang Electric Co., Ltd. successfully used DALSA machine vision system to successfully realize the accurate recognition of the colors of 24 sets of rearview mirror housings (some of which are similar in color and can be easily identified by naked eyes), eliminating the need for different colors. Between the mixed products produced by the substandard products.
Second, the car seat handle leather misfit detection
The details determine the success or failure, the leather used in the car seat handle is an important part of the interior appearance of the car, and the quality of the leather will directly affect the appearance of the whole panel. Car seat manufacturers use leather of different materials on the upper surface and side surfaces of the seat handles to ensure the comfortable and beautiful appearance of the seat handles. Machine vision can detect human-made misfits. As shown in the figure, Shanghai Bochuang Electric Co., Ltd. used DALSA machine vision system to effectively detect unqualified products and ensure the quality of finished products.
Third, the development prospects of the machine vision industry
In recent years, more and more domestic automakers have begun to realize the importance of the introduction of machine vision technology to the improvement of product quality, and have gradually invested in the use of machine vision. This is a very good start. After fully realizing the significant benefits brought by machine vision technology, we will certainly open up a wider wave of machine vision applications. This, we are convinced. In addition, we noticed that in addition to some traditional automotive machine vision application cases (reading code, fastener leakage detection, spark plug detection, glue detection, car dashboard detection, etc.), some auto parts manufacturers have Machine vision is used in new applications such as color recognition of rear-view mirror housings and mis-assembly of leather for car seat handles. At the same time, more and more car chassis manufacturers have gradually replaced the traditional handheld readers with machine vision. With the ever-increasing consumer demand for quality and the dramatic increase in labor costs, various factors are bound to promote higher levels of factory automation; this will inevitably provide opportunities for more widespread use of machine vision technology in the automotive industry. At the same time, with the continuous deepening of the application of machine vision technology, the technology of machine vision itself has been continuously developed and matured. The emergence of a large number of technical talents in the industry and the increasing recognition of machine vision technology by the majority of users have all contributed to the expansion of machine vision. The application of the automotive industry has played a significant role in promoting.
The use of machine vision in conjunction with robots further increases the degree of automation in the production process and greatly increases productivity and accuracy. The introduction of machine vision, just like the eyes of the robot, enables accurate navigation of the robot. Shanghai Bochuang Electric Co., Ltd. successfully used DALSA machine vision system with Epson, ABB, FANUC, YAMAHA and other brand robots to complete applications such as seam tracking, precision workpiece alignment, part sorting, and precise positioning of workpieces. For the majority of users and friends of the efficient production and high precision requirements provide a reliable guarantee.
Shanghai Bochuang Electric Co., Ltd. mainly acts on Teledyne DALSA IPD brand products. DALSA's visual products rely on its rich product line and excellent performance in the international market.1, the industry's smallest multi-processor smart camera BOA Series: BOA is a highly focused smart camera system that can provide different levels of visual solutions. Features: Built-in multi-processing engine, rapid installation and implementation; powerful, IP67 protection, solid and reliable; built-in DALSA intuitive teaching detection software, no additional installation software.
2. VA System Series Supporting Multiple Cameras: The VA Series vision systems include a variety of models. Users can choose a system that supports a different number of cameras according to their needs. Two types of software for different customer needs are embedded: iNspect and Sherlock. Features: Can support more than two kinds of multi-brand cameras, including storage space, easy storage of pictures and programs, flexible application software, industrial PC-level application platform.
3, Gigabit camera vision system: GEVA is an excellent visual system controller, DALSA vision system for the fastest processing of a machine, with ultra-fast computing power. Features: Dual-core processor and Gigabit network interface, suitable for high-speed applications; has a strong system integration capabilities.