DSM (Driver Safety & Monitoring) with Deep-Learning technology can support drowsiness/attention warning and seat-belt reminder as well as periodic event data and video footage transfer.
MDSM-22 offers robust Drowsiness and Distraction Warning because of deep
Learning algorithm so it is implementing face recognition even at various vehicle
environments such as sunlight, night and driver's facewears like mask, hat, sunglasses.
It detects and calculates head position detection ( x, y, z ), face direction detection
( yaw, pitch, Roll ), and eye opening/mouth opening/closing.
MDSM-22 can be integrated with MDAS-9N through Ethernet so that ADAS video
and event data can be transmitted to MDSM-22, and then ADAS and DSM data can
be sent out simultaneously to a telematics device through MDSM-22's RS232 cable.
Provides alarms when the driver’s
eyes are closed.
Detects when the driver smokes.
Provides alarms when the driver
Stores (maximum) 200driver IDs and identifies
which driver is on board.
Detects when the driver yawns.
Provides alarms when the yawning continues.
Provides alarms when the driver uses mobile
phone while driving.
Supports 3 different recording modes:
Normal / G-sensor event / DSM event.
Transmits real-time video via Ethernet
(ONVIF) or stores in SD card (Maximum 128G).
Detect when a driver is not fastening the Seat-belt over 10kmh
MDSM-22 can be calibrated on Smartphone app
via Wi-Fi inside of MDSM-22. This smartphone app offers DSM calibration & settings, Video download and Play mode, Demonstration mode, Diagnostic Mode, Firmware Update, etc.
And, it can send videos to a smartphone so that a driver would play video footages easily on smartphone and share them to FMS server.