Image recognition development
- Rivals are ”humans”
- To eliminate human error
Our image recognition technologies started with rear view cameras for automobiles. Currently, we are polishing our technological capabilities for to defective product detection systems and our "object detection," which is indispensable for automated driving. What is required is reliable safety and security. If the speed and accuracy of image recognition improve, we can build systems that beat human eyes. Our rivals are ourselves, "humans".
- Development fields
- As a sensor and actuator professional
* Areas we can offer
We develop software to move things, and are professionals who cover sensors and actuators. A camera is a part of the sensor (image sensor) and is a technical field in which we excel. On the basis of our abundant development experience so far, we can propose accompanying device control as well as image recognition to our customers.
* Areas we can offer
Achievements in development
- Achievements in development
Defective product detection system - This is an object detection system installed to manufacturing lines. The system detects flaws, chipping, dirt, etc. and then detects defective products on based on the image data of product samples.
- Facial recognition system
- Facial recognition is used for security, camera autofocuses, etc. Because we can develop it from drivers, we can improve detection speed and detection numbers.
- Automated driving (advanced driving system ADAS）
- Image recognition technologies are essential for rapidly-evolving automated driving technologies. Image recognition technologies are used for various functions in automated driving, such as LKAS (lane keeping assist system) which reads white lanes, ACC (adaptive cruise control system) which tracks the car in front, automated brakes that detects obstacles, and road sign recognition.
