Measuring instrument, market analysis, optics_market analysis of machine vision system in optical image measuring instrument

Machine vision system is a non-contact optical sensor system of optical image measuring instrument. It also integrates software and hardware, and can automatically obtain information or generate control actions from the collected images. In the 1980s, machine vision systems began to develop rapidly. The optical character recognition (OCR) system used to read and verify letters, symbols and numbers was first applied to the field of industrial automation production. Nowadays, machine vision systems with higher and higher image quality and image acquisition capabilities and smart cameras with advanced sensors are attracting widespread attention. The application in the field of electronics manufacturing is mainly to guide robots for high-precision PCB positioning and SMT component placement, as well as surface inspection. In the mechanical field, it is mainly component identification and online quality inspection, and feedback control is used to improve product output and yield. In the automotive field, it is mainly online inspection of assembly and offline inspection of parts, as well as surface inspection. In the field of food and beverage, there are mainly applications in packaging inspection and classification identification. In the field of paper products, it is mainly surface inspection and uniformity inspection, while optimizing the production process. In the field of medicine, it is mainly packaging inspection and label identification. Other areas are mainly parts recognition and surface inspection applications. Companies engaged in machine vision-related businesses include system component providers, system providers, system integrators and consulting service agencies. Most of them are small and medium-sized companies that carry out regional businesses. The main companies in the market are: Cognex, Omron and Siemens. Most of them are multinational companies, some have wholly-owned subsidiaries in various places, and some obtain markets through distributors and strategic partners. Large companies sell directly to users through distributors or directly, while small and medium-sized companies obtain customer resources through OEMs and system integrators, and rarely sell directly. The top four in the market together account for approximately 26% of the market share. In the past ten years, customers have become increasingly demanding on product quality and quality control, and they can no longer accept any defects. With the continuous expansion of production capacity and quality control requirements of automated production lines, manual inspection is not only troublesome, but also increasingly infeasible. The solution is to use automatic detection. Since the emergence of machine vision system products in the 1970s, it has gradually developed to deal with complex inspections, guided robots and automatic measurements, gradually eliminating human factors and reducing the probability of errors. In order to maintain competitiveness in both product quality and output, companies in the product industry chain have adopted machine vision technology one after another. Faster processing speed and higher image acquisition quality are the future development trends. As machine vision systems are widely accepted in the industrial field, more and more reports about new application fields have appeared. Like in the wood processing, chemical and packaging fields, machine vision systems are increasingly used in quality inspection, component recognition and automatic guidance. This trend will drive the demand for machine vision systems in the medium to long term in the future.