DriveTrust’s AI Dual Dash Camera is a modular build camera optimized for detection of objects from and within moving vehicles (cars, trucks, trains). Due to its modularity and powerful processing capabilities, it can detect a variety of different objects and behaviours in different scenarios, for example:

• drowsiness and distraction in drivers
• different types of objects in front of vehicles: people, snow on roads, blocked rails
• distance estimation for detection of tailgating
• usage of build-in accelerometer and GNSS for geofencing, aggressiveness, speeding and road anomalies detection

The main advantage of using the DriveTrust camera is that the processing of the video happens in real-time on the device and that no video upload is required. Therefore real-time warnings are possible in areas with little or no mobile network coverage.

RailEyes solution provides an optionally real-time, on-demand automated permanent way monitoring solution in order to help maintain and predict potential issues on railway assets. The plug-and-play system automatically detects visually and vibrationally detectable events of interest and notifies the corresponding infrastructure manager. Enabling continuous evolution and innovation, aim of RailEyes is to accelerate digitalization of rail operations.

DriveTrust follows a non-intrusive approach to fleet safety. Unlike modern ADAS systems, whether OEM or aftermarket;  the system does not interact with the driver in order to tackle problems of driver insensitivity for warnings and negative implications on false positives. Allowing long-term betterment of the drivers rather than taking instant corrective action. The approach followed takes the solution to a fundamental level; behavioral analysis based on continuous analysis of the driver. The multimodal DriveTrust Score is calculated based on six behaviors as can be seen in the hexagonal visualization. Each profile and metric is designed together with our car insurance partners.

Based on high sensory and trip related analytics, provides the fleet managers a real-time actionable platform with proof for taking actions such as rewarding improving behavior or taking corrective action for declining performance either manually or in an automated fashion.