[Video Introduction] DOBOT Case Study: Image Processing Sorting Using Deep Learning
We will introduce a video case study of "Automatic Sorting of Commercial Chocolate Snacks Using Deep Learning" by DOBOTMagician!
We will introduce a case study of the tabletop-sized small robot arm DOBOT Magician through a video. *Please watch the video from the "Related Videos" section in the middle of this page. ■Video Content *Theme: Automatic sorting of commercially available chocolate snacks using deep learning - Collecting image data and creating training data - Building a deep learning model (CNN) using Keras ■About DOBOT Magician DOBOT Magician is a robot arm equipped with a 4-axis arm, priced around 150,000 yen. Its design does not require prior safety training, making it suitable for various locations and applications. Afrel provides original guides using dedicated software (DobotStudio) and programming languages (C, C#, Java, Python) to support the utilization of the robot arm. *DOBOT Magician product introduction page https://afrel.co.jp/product/dobot
- Company:アフレル 東京ロボティクス本部
- Price:100,000 yen-500,000 yen