loading

Hongzhou Smart - 15+ Years Leading OEM & ODM

kiosk turnkey solution manufacturer

Machine vision settlement to be able to accurately identify the dishes?

Visual and settlement of identification of dishes is correct? This problem has been the most businessmen care about most. Visual settlement platform as a relatively mature product, the market has a certain usage. Such as the launch of the latest VS100 visual settlement stage were used in Mr Rice stores, this can prove the visual settlement can be competent in the market. Now the visual settlement has recognition accuracy is very high, the data of the experiment is as high as 99%. Settlement by computer visual AI intelligent recognition technology is very strong, can upload pictures of the dishes with automatic identification ratio. And according to food industry application scenario for the problem, some businesses may have many similar items at the same time. So visual settlement can by comparison with the background information, found to have similar items carried out while the pop-up warning. This way we can avoid mistakes very well, and visual and settlement stage if routes according to identify the image to the background recognition compared again. That is to say, the visual settlement can be through this learning mode, after rising use can effectively avoid identification difficult problem again. The smart work mode, it will only make visual performances of settlement stage will be more and more high. In addition, the visual is clearing machines have a mechanism can effectively prevent the error from the wrong question. Taiwan to the settlement of the merchants to activate visual background dishes, will be prompted merchants in similar businesses choose dishes. Such fault avoidance mechanisms can be effectively avoid recognition dishes at source has the probability of error prone, can better normal operation in the restaurant. Visual settlement stage this aspect to the settlement of the recognition accuracy is very high, can help merchants solve the problem in the check-out recognition efficiency slow. And visual settlement platform technology is very intelligent, can completely avoid the businessman appeared to identify food is not accurate.

GET IN TOUCH WITH Us
recommended articles
FAQS KNOWLEDGE APPLICATION
Welcomes Mexican Customers for Hongzhou Kiosk Factory Visit
Welcome to Hongzhou Kiosk Factory, where we are excited to announce that we are now welcoming Mexican customers for factory visits. With state-of-the-art technology and a commitment to quality, our kiosks are designed to meet the needs of today's fast-paced world. Come see for yourself why our kiosks are the top choice for businesses worldwide.
Congratulations on currency exchange machine land on Genghis Khan Airport in Mongolia

Hongzhou Smart is delighted to provide the currency exchange machines for Genghis Khan Airport in Mongolia.

The currency exchange kiosks we offer are equipped with advanced features. They can not only handle currency exchange but also provide money transfer services and issue pre - paid travel cards. Our machines use advanced business intelligence tools, including live dashboards and maps, to monitor the status of each self - service machine in real - time and send warnings and alerts in case of any issues. The central management software allows for remote monitoring of hundreds of machines via a desktop or smartphone. In addition, the cash dispenser's safety vault is highly secure and can only be opened by an authorized person with a key.
no data
Hongzhou Smart, a member of Hongzhou Group, we are ISO9001, ISO13485, ISO14001, IATF16949 certified and UL approved corporation.  
Contact Us
Tel: +86 755 36869189 / +86 15915302402
WhatsApp: +86 15915302402
Add: 1/F & 7/F, Phenix Technology Building, Phenix Community, Baoan District, 518103, Shenzhen, P.R.China.
Copyright © 2025 Shenzhen Hongzhou Smart Technology Co.,Ltd  | www.hongzhousmart.com Sitemap | Privacy Policy
Contact us
whatsapp
phone
email
Contact customer service
Contact us
whatsapp
phone
email
cancel
Customer service
detect