The TS-DS03 is a driver state intelligent early warning terminal, which based on image recognition technology and inbuilt image intelligent processing core algorithm independently developed by our company. On one hand, with special camera, the TS-DS03 can warn the driver once he/she have bad driver behaviors like fatigue, distraction, calling, yawning, texting, smoking and so on. It can also identify the driver ID. On the other hand, it can send data to monitor platform through GPRS/3G/4G device with serial port. It is suitable to safety management for private car, commercial vehicle, trucks, bus, dangerous cargo transport vehicle and so on.
The Fatigue is the most common factor of incidents in oversize load
Oversize Loads are managed slower speed than normal load, so Oversize Load Truck Drivers are exposed to experiment fatigue signals faster than normal size load truck drivers.
Fatigue is a state of exhaustion caused by physical or mental exertion. It has long been acknowledged that impaired sleep caused by shift work is associated with a diminished ability to complete simple daily tasks, poor concentration and a heightened tendency to behave recklessly.
More recently, fatigue has gained traction in high profile matters, government campaigns and has been the subject of significant research findings.
A study by the Australian National University[1] has shown that employees who work more than 39 hours per week are at higher risk of injury or illness if appropriate control measures have not be established in the workplace. This threshold reduces for people who also carry out care and domestic duties.
The study found that working longer than 39 hours generally led to a decline in mental and physical health, and increased exposure to fatigue and its associated risks. However, as all people become fatigued at different rates, it is important for employers to introduce strong policies to ensure they comply with their WHS duties and, more importantly, protect their workers.
DATA SOURCE
[1] Huong Dinh, Lyndall Strazdins and Jennifer Welsh, āHour-glass ceilings: Work-hour thresholds, gendered health inequitiesā (2017) 176 Social Science & Medicine 42-51.
Australian Mining. ĀØManaging fatigue in MiningĀØ
Real-Time Fatigue Warning System
Prevent your drivers about fatigue and online monitoring the driver behaviour receiving fatigue and distractions alerts in real-time and get safety industry operation.
LET EVERY DRIVER GO HOME SAFELY
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Business Connector for SAP and S4H
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