Ultravision offers tailored solutions for various industries, addressing specific customer needs and challenges. We can also customize these solutions to perfectly fit your unique requirements.
Ultravision have more than 16 years of experience in video telematics industry, and we are committed to improving the operational efficiency and fleet safety of commercial vehicles.
Ultravision ADAS can accurately recognize the distance between vehicles, pedestrian detection,lane departure.and send out timely alarms to effectively prevent accidents from happening.
In the process of driving, Ultravision DMS can capture driver status and issue warnings for dangerous driving behaviors like smoking, phone use, distraction, and fatigue. Help them develop good driving habits.
● Smoking detection
● Phonecall detection
● Yawning detection
● No driver detection
● No seat belt detection
● Camera block detection
● Distraction drive detection
● Wear sunglasses detection
● Fatigue detection
BSD
Blind Spot Detection
Ultravision BSD can accurately identify pedestrians and non -motorized vehicles within the range of the vehicle's blind spots, Promptly remind drivers and pedestrians to prevent accidents caused by blind spots.
Ultravision APC accurately counts passengers by analyzing various characteristics such as hairstyle, height, age, and hat type.Providing valuable insights for optimizing bus routes and scheduling.
● Real time passenger counting
● Identify different passenger types
● Identify different scenarios
● High statistical accuracy
● Automatically statistical reports
The Ultravision G-Sensor Scene Modes use advanced inertial sensors to monitor key driving behaviors, including sudden acceleration, deceleration, braking, and turning. This feature provides real-time alerts to help drivers stay aware and drive safely.
● Harsh braking warning
● Harsh acceleration warning
● Harsh deceleration warning
● Harsh turn warning
● Rollover event upload
FR
Face Recognition
Face recognition technology is a sophisticated system that identifies individuals based on their facial features. By analyzing biometric data captured by a camera, such as the distance between the eyes, the shape of the nose, and facial contours, it matches this information with the driver's facial data stored in the enterprise database.
Face recognition technology offers a robust solution to prevent vehicle theft and streamline driver attendance processes. Its implementation can significantly improve security measures and operational efficiency within enterprises.