Driver monitoring

Image recognition for  In-Cabin Monitoring

We contribute to safety & security in cars in the new mobility era by our Image recognition software. We aim “ In-car sensing leading company “ which supports realizing comfortable/safe space by grasping/predicting people’s conditions in cars.

Software with proven track record for automotive mass production


Since 2013, we have been developing image recognition software for driver monitoring systems (DMS).
Since 2018, FaceU(R) for DMS has been adopted for mass-produced vehicles by major Tier1 manufacturers and auto parts manufacturers (3 car manufacturers and 4 models) in Japan and overseas.

Solutions

Face recognition software for Driver monitoring

Face recognition software for Driver monitoring

It detects human head position, face direction, eye gaze,degrees of eyelid openness, drowsiness and identifies individuals etc from IR / RGB camera images and can be used for DMS functions such as distraction, drowsy driving and driver authentication.

Passenger status recognition software

Passenger status recognition software


It recognizes dangerous actions such as mobile phone operation and smoking. When used together with FaceU (R) for DMS, it can be used to develop advanced DMS.

R&D professional service

R&D professional service


Consignment business of research and development of image ecognition technology for In-Cabin Monitoring for Tier1 manufacturers and auto parts manufacturers. Support for development of driver monitoring systems for auto parts manufacturers.

Proprietary Advantages

Resource saving / compact & High performance

Resource saving / compact & High performance

Combining the conventional statistical method with the newly developed DeepLearning high-speed inference engine, it achieves compactness and high performance.
No [ GPU / FPGA / NPU ] is required and it achieves real-time processing with reasonable CPUs (e.g. ARM Cortex A7 1.0GHz x1).


High robustness against the environmental conditions

High robustness against the environmental conditions

Ensuring environmental resistance such as sunlight, backlight, LED reflection, glasses reflection and contrast fluctuations specific to the In-Cabin environment.
It also recognizes with high accuracy even when wearing accessories such as sunglasses and mask.
It contributes to the reduction of customer evaluation man-hours.


High robustness against high Yaw / Pitch

High robustness against high Yaw / Pitch

Effective detection range: Yaw :  -90 to +90 degrees / Pitch :  -40 to 70 degrees
Camera installation positions can be flexible and
it can be combined with various In-Cabin Equipments.


High robustness against poor image quality

High robustness against poor image quality

It recognizes blurry images such as brightness, low resolution, blur, and noises with high accuracy.
It works with reasonable cameras and a small number of light sources, contributing to system cost reduction.


Alliance

R-Car consortium
Renesas Partner platinum

Locations

HEADQUATER

[R&D]

19th Floor, Twin21 MID Tower, 2-1-61, Shiromi, Chuo-ku, Osaka, Japan

TOKYO

[Sales & Marketing]
Sumitomo Higashi-Shinbashi Bldg. #3,
1-10-14, Hamamatsu-cho, Minato-ku, Tokyo, Japan

KOREA

[Sales partner]
Panasonic Industrial Devices Sales Korea

CHINA

[Sales partner]
Panasonic Industrial Devices Sales China
China

PUX Corporation