Pedestrian Detection (PD) TechnologyPedestrian detection technology, which is a deep learning technology based on big data, can intelligently detect whether there are targets such as pedestrians and cyclists in front of the vehicle, meanwhile it could accurately analyze information such as the speed and distance between the vehicle and the target object. When a risk of collision is predicted, an alert will be triggered to avoid a collision.
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Face Recognition TechnologyThe face recognition technology is to collect dynamic facial images of the driver; then convert the biological features of the driver such as face type, eye spacing, single or double eyelid into data features and perform intelligent analysis. The technology identifies the driver by comparing the data to the registered identity image features. If an unregistered identity is recognized, the system will trigger an alert and activate the recording function, which will effectively prevent the vehicle from being stolen and be used for subsequent investigation and evidence collection.
Fatigue Driving Monitoring TechnologyFatigue driving monitoring technology accurately locates multiple feature points of the drivers face through multi-layer neural network technology, and combines clustering and neural network algorithms to assess the state of the human face. It can detect if the driver is fatigue , regardless it’s in the day or night, and whether the driver wears glasses or sunglasses. Once the driver is detected to be fatigue driving, the system will immediately trigger a warning to wake up the driver and start recording at the same time to avoid serious accidents.
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Distracted Driving Monitoring TechnologyDistracted driving monitoring technology, based on video image analysis technology, can accurately assess whether the driver has distracted driving behavior by positioning the drivers head posture and its deflection angle, etc.. An alarm would be promptly triggered to avoid accidents .
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Cell Phone Use Monitoring TechnologyThe cell phone use monitoring technology can accurately identify whether the driver is answering or making a phone call. Once it detects that the driver has spent more than 2-4 seconds on the phone when driving, it will promptly trigger an alarm to avoid accidents.
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Smoking Monitoring TechnologySmoking monitoring technology can accurately identify the drivers smoking behavior. When the driver is detected to smoke during driving, an alarm will be raised to the driver to prevent accidents.
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