![Asahi Denso Co., Ltd. | The special maker for Human and Machine Interface [Open the way]](/uploads/op-asahidenso/en-logo.png){kind=logo}
By analyzing riding data using sensors and AI, the system supports accident prevention and situational awareness, enhancing rider safety and improving riding habits.
Various sensors to support driving
Motorcycles are equipped with a wide various sensors to support their operation.
The following are examples of these sensors.
- Accelerator Position Sensor
- Speed Sensor
- Accelerometer
- Handle Angle Sensor
- etc.
Additionally, equipping the system with a camera enables object detection and recording of the driving viewpoint.
Object detection can recognize items such as the following:
- Traffic Sign
- Traffic Light
- Pedestrians
- Vehicle Density
- Weather
- Speed Limit
- etc.
Data Storing
Data obtained from sensors on the vehicle is stored in the cloud via a smartphone, where a machine learning model analyzes the rider's behavior and the surrounding environment.
Riding Analysis
The sensor data is analyzed using a machine learning model to detect the rider's behavior.
The following are some examples of those.
- Sudden Braking
- Dangerous Driving
- Engine trouble
- Speeding
- etc.
Rider Drive Score Analysis
Analysis of sensor data evaluates riding safety, environmental impact, and skill level etc.
For safety and environmental impact, sharing data with insurance companies could enable applications such as discounts on premiums for exemplary drivers.
For skill level, sharing data within racing teams or delivery companies could enable applications such as identifying areas for improvement by comparing performance against skilled riders.
Predictive Vehicle Maintenance
We predict the recommended maintenance timing based on the analysis results of sensor data.
Predictions are made based on factors such as vehicle status obtained from sensors and the timing of the previous maintenance, and the next recommended maintenance period is notified to the rider.
Analysis of External Factors, Vehicle Condition, and Rider's Condition
This system can infer factors such as the following, helping to determine the cause when an accident or abnormality occurs.
Establishing Accident Circumstances Through Image Recognition
We think that by using cameras mounted on motorcycles to perform image recognition in the cloud, we can prove the circumstances at the time of an accident.
Sharing data obtained through image recognition with traffic police officers will make testimonies about the circumstances at the time of the accident more credible.
