- Status estimation
- Media recognition
Recognizing the conditions inside waste pits in waste treatment facilities
Recognizes type of waste, waste stirring condition, and height of waste, using images of the waste pit captured by a monocular camera.
- We have developed a waste segmentation technique that, based on an image of the waste pit captured with a monocular camera and divides the image into regions according to the type of waste and stirring condition of the waste, such as regions showing stirred waste and sludge.
- We have developed a height estimator that estimates waste height from the segmentation results and the computer-aided design (CAD) data of the waste pit.
- The segmentation technique and height estimator have been incorporated into a fully automated AI-based waste crane system.
Applications
- Waste treatment facilities
- Automation of waste crane operations
Benchmarks, strengths, and track record
- These techniques have been incorporated into a fully automatic AI waste crane system as core technology.
Inquiries
Toshiba Digital Solutions Corporation
Toshiba analytics AI service “SATLYS” (in Japanese)
References:
- Hidetaka Ohira; Professional Service of SATLYS Toshiba Analytics AI to Improve Efficiency of Operations in Waste Treatment Facilities (PDF); Toshiba Review. 77, 5, 2022, p.37-40. (in Japanese)
- Development of fully automated AI-based waste crane system. The Waste Management. 2021, 1640, p.3. (in Japanese)
