Deep Learning / Image Recognition

Higher-grade Image Recognition Technology

Our Deep Learning technology identifies various persons and things from images and videos. We experts with high technical skills carefully proceed with projects using the most suitable method that meets your needs. Therefore, we can propose higher-grade solutions for complicated projects.

Application examples

Visual inspection of extraneous substance on production lines
E.g., Contamination inspection of products and raw materials
Visual inspection of extraneous substance on production lines
Visual inspection of structures and large machines
E.g., Inspection of bolts on a steel tower
Visual inspection of structures and large machines
Safety at the manufacturing site
E.g., Detection of people near work vehicles
Safety at the manufacturing site
Obstacle detection for autonomous vehicles
E.g., Detection of people and obstacles
Obstacle detection for autonomous vehicles
Digitalization of agriculture, forestry, and fisheries
E.g., Livestock status estimation
Digitalization of agriculture, forestry, and fisheries
Customer analysis at commercial facilities
E.g., People-flow analysis
Customer analysis at commercial facilities

Implementation Processes

We will provide step-by-step support to introduce Deep Learning

Initial Discussion
Discussing whether AI can be applied and how much it can be realized after hearing your request.
Proof of Concept (PoC)
Verifying whether the model can be created with the desired accuracy.
Algorithm Development
Developing a learned model.
Application development / operation
Supporting application development and operation for installation on site.