Vanesh Naidoo, Founder & CEO, Safe Cams Digital Eye says, “These DSM cameras have been developed by us based on extensive R&D done through open-source facial and gesture recognition software, which our team later modified to identify for specific markers such as eyes being closed, yawning, eyes not facing front, among others…”
Safe Cams’ advance DSM-enabled safety cameras have the capability to deliver automatic warnings (alarms) based on the following:
• Driver fatigue alarm: Through facial and eye tracking, the DSM will detect if the driver’s eyes have been closed for between 1 to 3 seconds.
• Driver distraction alarm: Through facial and head position tracking, the DSM will detect if the driver is not paying attention to the road ahead.
• Smoking alarm: Through gesture detection, the DSM can detect if the driver is smoking.
• Mobile phone use alarm: Through gesture detection, the DSM will detect if the driver is using their mobile phone while driving.
• Non-detection alarm: If the DSM cannot detect any facial features for over 3 seconds, it will ring the alarm. Further, if the camera is tampered with or covered, the alarm will alert the management/vehicle owners of the situation.
• Driver ID recognition: When the DSM detects that the driver has left the monitor’s ‘capture scope area’ and then re-appeared afterwards, it will compare the present driver’s characteristics with the previous one, and if there is a discrepancy (if both of them are not the same person), the alarm will be sounded.
• Speeding alarm: Based on the speed computed from the GPS, the DSM can warn the driver if he/she is speeding up beyond the permissible limit.
Apart from the above-mentioned functionalities, Safe Cams’ vehicle and fleet safety/monitoring devices are also equipped with its flagship Cloud platform (Fleet Management Cloud Software), which enables the connectivity of its 4G cameras to the control centres of any fleet company. This in turn enables the management of the fleet company to monitor and assess problems related to their fleet and drivers quickly.
If a driver is falling asleep on wheel or displaying inattentive behaviour but also disregarding the warnings from the DSM, the alert is then sent to the control centre; and thereafter they can enforce the driver to take remedial action. Also, with the data collected from these cameras, new operating procedures can be formulated to ensure chances of accidents are minimized over time.