Blind Spot Detection Warning (BSD) & Active Safety ADAS & Driver Status Monitoring (DSM)

Active Safety ADAS System & DSM Driver Status Monitoring System & BSD Blind Spot Monitoring Warning System

The Advanced Driver Assistance System (ADAS) is an active safety technology that utilizes AI algorithms for intelligent image analysis. It employs various sensors installed in the vehicle to collect environmental data inside and outside the car in real-time. Through the identification, detection, and tracking of static and moving objects, it alerts drivers to potential hazards, aiming to prevent traffic accidents. Initially, ADAS systems mainly focused on passive alerting. However, with technological advancements, ADAS has evolved to actively undertake a series of safety measures, further ensuring the driver's safety. In the near future, ADAS technology may become standard in vehicles, reducing accident rates.

ADAS Features: The Advanced Driver Assistance System (ADAS) uses various sensors installed in the vehicle to collect environmental data inside and outside the car. By identifying and detecting static and moving objects, it alerts the driver to potential dangers, enhancing safety. The sensors utilized in ADAS include cameras, radar, laser, and ultrasonic sensors, typically located on the vehicle's front and rear bumpers, side mirrors, steering columns, or windshields. Presently, ADAS technology primarily focuses on passive alerts, issuing warnings to the driver when potential dangers are detected. Active intervention features of the latest ADAS technology are expected to be implemented in the field of autonomous driving. Current functionalities include lane departure warning, maintaining a safe distance from the preceding vehicle, and collision warning.

ADAS System Main Functions: Collision warning, virtual bumper warning, lane departure warning, pedestrian collision warning, among others.

LDW Lane Departure Warning System: When a vehicle unintentionally deviates from its lane, the system issues audible and visual alerts to prompt the driver to maintain safe driving.

FCW Forward Collision Warning System: It continuously monitors the vehicle ahead, determining the distance, position, and relative speed between the vehicles. If a potential collision is detected, the system provides audible and visual warnings to prompt the driver to react promptly.

PCW Pedestrian Collision Warning System: Real-time detection of pedestrians in front of the vehicle, assessing the distance, position, and relative speed between the car and pedestrians. When a potential collision is detected, the system issues audible and visual alerts to prompt the driver.

DSM (Driver Status Monitor) Driver Status Monitoring System: The Driver Status Monitor is a fatigue monitoring and warning product based on the driver's physiological reactions. Commonly known as the "fatigue driving warning system," it utilizes ECU and camera modules to assess the driver's fatigue state through facial features, eye signals, head movements, and other physiological indicators. It issues alerts and takes corresponding measures to ensure active intelligent safety for the driver. The system alerts the driver to avoid fatigue driving, distractions, speeding, etc., through facial detection algorithms (AD_FACE algorithm), monitoring driver behavior and issuing voice reminders to ensure safe driving.

Utilizing images captured by the DSM camera, technologies such as visual tracking, object detection, and motion recognition monitor the driver's behavior and physiological state. It issues warnings within a set time frame when the driver experiences fatigue, distraction, phone usage, smoking, or other risky situations, aiming to prevent accidents. The DSM system primarily includes functions such as fatigue driving monitoring, smoking detection, phone usage monitoring, distraction driving monitoring, and anomaly detection. It effectively regulates driver behavior, significantly reducing the likelihood of traffic accidents.

BSD (Blind Spot Detection) Warning System: While the vehicle is in motion, the BSD system continuously detects objects (pedestrians, bicycles, cars, motorcycles, and other obstacles) within the blind spots on both sides of the vehicle using cameras installed on the vehicle's left and right sides. It categorizes alerts into three levels based on the proximity of the detected object to the vehicle. When an object approaches the vehicle, the BSD issues an audio-visual alert, signaling "danger from a large vehicle" while flashing LED lights to warn the driver. The in-car display synchronously magnifies the side camera images and activates the in-car alarm, providing verbal reminders to aid the driver in making optimal lane changes, assisting in avoiding blind spot-related accidents and enhancing safe driving.

Driver Safety Assistance Terminal: This AI-based device utilizes image recognition technology and embedded DSM algorithms to monitor driver status. It intervenes in driver fatigue and unsafe driving behavior through audio and data alerts. It also supports data uploads and intervention through a monitoring platform. Built on an embedded platform with cutting-edge intelligent image AI algorithms, it uses a dedicated camera to collect real-time images of the driver's fatigue state, analyzing facial features and unsafe driving behaviors. It continuously perceives and assesses driver conditions, issuing alerts and reports. It provides driver identity verification and alerts if the current driver is not authorized for the vehicle. The embedded Advanced Driver Assistance System (ADAS) algorithm collects lane departure and collision data during the drive, issuing audio and uploaded alerts. The embedded BSD algorithm provides early warnings for objects in the left and right blind spots, reducing accidents.

Primary Application Targets:

• Long-distance buses, passenger buses, public transport, tourist vehicles, and business cars in the transportation industry.

• Transport vehicles in factories, tobacco, petroleum, pharmaceuticals, food, beverages, aiming to prevent damage, theft, robbery, tampering, and internal theft.

• Parcel transportation in logistics, express delivery, postal services, vehicles transporting various valuable goods, and other freight vehicles in logistics companies.