Safety Management-DoricTech-GRS

Intelligent Hardware with Full Scenario Coverage, All-Round Protection of People, Vehicles and Goods

ADAS Front View Camera: Self-developed intelligent ADAS camera, featuring with 1080 x 720 resolution, an 80° horizontal FOV, and AHD output, our device tracks road conditions, warns of collision risks and lane departures, and detects pedestrians. It automatically uploads media to help drivers prevent accidents and divide responsibility for the car accident
DSM Driver Camera: High-quality DSM camera with a resolution of 1280 x 720, a 52° field of view, and a focus range from 40cm to 200cm, this device detects driver fatigue and distraction. It automatically uploads event data and videos in AHD format for analysis and big data model training purposes
BSD Blind Spot Camera: Equipped with a 1/2.9" CMOS sensor and 2 megapixels, providing an effective resolution of 1280x 720, this device monitors vehicle blind spots for approaching cars or pedestrians. It outputs video in AHD 1.0, 720p format with a frame rate of 25 FPS, using the PAL standard, and provides warnings to help prevent potential incidents

Pioneered the "Device-end + Cloud algorithms" model, the annual accident rate per million km dropped 17%

Device-end and cloud integration improves recognition accuracy
Device-end and cloud algorithm complement each other, with accuracy exceeding industry average by 90%
Scenario recognition accurately predicts potential risks
Cloud risk algorithm, trained and iterated based on the massive scenario data, realizes risk prediction, eliminating potential risks in advance.

Pioneered the "Device-end + Cloud algorithms" model,
the annual accident rate per million km dropped 17%

Device-end and cloud integration improves recognition accuracy
Device-end and cloud algorithm complement each other, with accuracy exceeding industry average by 90%
Scenario recognition accurately predicts potential risks
Cloud risk algorithm, trained and iterated based on the massive scenario data, realizes risk prediction, eliminating potential risks in advance.

Data intelligence + management systems construct a reliable "Safety Triangle"

Drivers: Supported by IoT + algorithms, with a false alarm rate of less than 0.5 per 1000 km and high-risk events of 1.2 times per 1000 km

Security Coordinators: Supported by data intelligence and platform, accurately screening high-risk drivers

Fleet Leaders: Supported by data intelligence, utilizing reliable data for fleet safety assessments

Integrated SaaS Platform with Real-time Safety Management Anywhere

Web + App: Sync content seamlessly between mobile and desktop platforms, enabling effortless cross-platform real-time operations

Email: Real-time automatic push notifications for risk events, ensuring none are missed

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