Machine vision industrial inspection technology in the process of continuous development, facing some challenges and problems, in a complex industrial environment, such as light changes, vibration, dust and other interference factors will affect the image quality and system stability, resulting in a decline in detection accuracy.

Industrial production needs to process a large amount of image and video data, requiring the system to be able to efficiently process large-scale data and make accurate decisions in a short time. The shape, color, texture and other characteristics of different workpieces and products are different, so the system needs to have good versatility and adaptability, and can adapt to the detection needs in different situations.

Machine vision algorithms need to have high accuracy and robustness, and can accurately identify different objects, surface defects, shape changes, etc., to avoid misjudgment and missed detection. Ensure accurate calibration and calibration between camera, light source, lens and other equipment to ensure the accuracy and consistency of measurement results.

Some application scenarios require the machine vision inspection system to monitor and respond to anomalies in real time, and it is necessary to ensure the real-time and high efficiency of the system. Deploying and maintaining machine vision systems requires significant costs, including hardware, software, training, and more, which may be difficult for some small and medium-sized businesses to afford.

Handling large amounts of image and video data can involve privacy and security issues, and it is necessary to ensure the secure storage and transmission of data to avoid leakage and abuse.

To overcome these challenges, we need to continuously promote the research and development of machine vision technology, improve the stability, accuracy and adaptability of the system, and meet the demand for efficient and accurate inspection in industrial production.