[Technical Information] Is it possible to distinguish collected images other than the operating environment as training data?
Sample program available ■ We verified whether it is possible to distinguish images that were not taken in a real operating environment using a smartphone camera as training data!
We would like to introduce a technical verification article on the tabletop-sized small robotic arm, DOBOT Magician. ■ Article here https://qiita.com/shimamotosan/items/1a0c6c73b1e60ae5db43 ■ Content We are collecting learning data for objects to be identified in an environment where sorting is performed. However, in AI-based image recognition, it is possible to include image data collected outside the actual operational environment in the training. This time, we verified whether it is possible to identify objects using images taken with a smartphone camera that are not from the actual operational environment as training data. Keywords: Python, OpenCV, AI, image recognition, dobot ■ About DOBOT Magician DOBOT Magician is a robotic arm equipped with a 4-axis arm, priced around 150,000 yen. The main unit does not require prior safety training, making it less restricted in terms of usage locations and applicable in various scenes. * 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