Humpty-dumpty enters the claims department of his local insurance company. After thoroughly reviewing his case, the adjuster politely says, "I am sorry, Mr. Dumpty, but gravity is a pre-existing condition." At M-ADAS, we believe this could be resolved.
Ever since the first motorized vehicle hit the road in the 19th century, the battle has been waged against gravity. The deadly combination of high speed and the sharp angles of a curve has led to one of the most costly human errors in this industry, both in terms of human lives and financial losses.
This is widely referred to as overturning.
Two of the sectors most at risk of overturning are the motorcycle and lorry sectors.
M-ADAS is a group of professionals from a variety of backgrounds, from programming to data analysis, who have collaborated with leading experts in academia to develop an innovative new product design that significantly reduces the human error factor in both motorcycles and heavy-duty vehicles. Together with our partners at Technion University and with industry leaders such as READYMIX (a CEMEX company) and ITURAN (an industry leader in vehicle tracking GPS ), we are currently completing a large-scale pilot project to test and adapt our system in a variety of vehicles and terrains.
Thus, the simplest reason for loss of control in curves is a human factor, namely the incorrect estimation of the correct speed when entering a curve. This human error factor is increased in motorcycles and in trucks, such as ready-mix concrete mixers, which have very complicated reaction times and road adhesion, and where the behavior of the load and the "fluid mechanics"" must be considered among other factors. Our system, which can be installed in various formats, such as a standalone system, an app for cell phones, a multimedia system and an add-on to the exciting systems from GPS, which most work vehicles already have. The system constantly calculates data on road conditions, cornering angle and payload, and warns the driver if he or she is approaching a curve too quickly. The warning can take the form of a visual display or a voice announcement, or it can be integrated into autonomous vehicle systems in the future. We also worked closely with academic experts to find the ultimate balance between reaction time and display point.
We are currently focused on our productive calibration with industry leaders, but as I mentioned earlier, some of our platforms can be purchased directly by individual customers as well as by enterprises.
For many years, these two sectors were particularly difficult for the insurance industry, mainly because there was a lack of technological solutions tailored to the specific characteristics of these two sectors and able to compensate for the human error factor. Especially because in these two sectors the consequences of mistakes are much more expensive, in terms of lives and money, than in other sectors.
Our technology will enable insurance companies to significantly reduce the risk of overturning heavy vehicles and motorcycles, allowing them to improve their products for these sectors while reducing risk.
Our basic product, which can be based on an app or a plugin, enables an affordable system for the owner and allows insurance companies to significantly reduce risk, which in turn will lead to a whole new market of insurance products for low-cost scooters.
The second example is complex working vehicles such as mixers. Our product is able to synchronize with the existing systems of GPS installed on these vehicles and reduce the risk of overturning, taking into account all the complicated factors such as the behavior of the payload and the characteristics of the vehicles. So in the future, if an insurance company wants to calculate the risk for the drivers of a truck mixer, our product can significantly reduce the risk for the insurance company and create a much more risk-adjusted insurance product.