Case Study of Automated Visual Inspection: AI-Based Inspection of Bento Ingredients
A case study of automating visual inspection by installing cameras and lighting on the line to capture and inspect the condition of bento boxes flowing on the conveyor line!
Regarding the mistakes or absence of ingredients in the bento boxes being transported on the line, would you consider switching from "visual inspection" to "automated inspection using cameras"? By installing cameras and lighting on the existing transport line and utilizing AI, we can create a system that inspects for mistakes in the arrangement or presence of ingredients while they are being transported on the line. This system will also be able to identify irregular items, such as bento ingredients, which are difficult to distinguish with conventional inspection devices, by using AI. 【Features of this system】 ■ Inspection can be conducted on the transport line without creating a separate inspection system. ■ Since inspections are performed on the transport line, it is possible to conduct inspections without creating additional devices. ■ By using AI, inspections can be carried out for ingredients that do not have consistent shapes or colors. ■ The device can be modified based on the inspection content. *First, we will verify whether the work you wish to inspect is feasible. *Detailed processing information is provided in the PDF, including specifics and processing flow.
- Company:エーディーディー
- Price:Other