Machine vision-appearance defect detection has become a joke

insert image description here
Appearance inspection has been popular for several years. As long as you are a machine vision engineer, everyone is curious and wants to do it. If you don’t do it, you don’t know. If you do it, you will be shocked. I will analyze how many pits have been buried in appearance defect detection from the information mastered by each of the first-line companies:

The obvious phenomenon is that the company has placed a lot of equipment, all of which are in the company and have not been sold. I have been in the business for 15 years, and I have never experienced so many devices staying in the company. Never seen it. If you see a lot of equipment for appearance inspection on Douyin, Video Account, Kuaishou, etc., it is obvious that the equipment is not for sale, it is suitable for video posing, and the equipment is lying dead for a long time. These are all money. It's all the cost of the company, and it loses every day.

0. Vicious competition: If you have seen a 1.5 million disc filter, then you must have never seen an 8,000 yuan disc filter​. Due to competition in the entire industry, profits continue to decline.
1. Single: The column business is single, only appearance inspection is done, and business continuity cannot be generated.
2. Cost: The hardware is all matched and assembled​. Machine vision engineering is costly and requires a large number of people​.
3. Technology: Technology is highly reproducible, what you can do​, others can do too.
4. Profit: Profit shows a continuous downward trend. For one end customer, there are 3 to 6 companies that have the strength to do appearance inspection equipment.
5. After-sales service: Frequent problems require a lot of after-sales service, the cost of after-sales service is high, and it is free.
6. Existing technology: The existing technology is not very mature and requires a lot of manpower to debug.
7. Time: Long debugging time and abnormally long delivery time. ​It is also affected by whether the on-site customers are expected.
8. Data falsification is more serious than measurement data: actual

Guess you like

Origin blog.csdn.net/weixin_44301520/article/details/132520549