This year as well, the EcoMotion conference was held in Tel Aviv, which for the past decade has been the main stage for Israeli start-ups to present their developments in the field of vehicles and smart transportation. More than 100 companies and ventures presented at this year's conference in front of hundreds of professionals from the global automotive industry, including executives from companies such as Hyundai, Ford, Volkswagen and JLR, who came looking for the next big thing. So who are the companies that stood out at this year's conference?
In the field of radar and imagingtechnologies, it was Arbethat developed high-resolution radar technology that works in all weather and can detect two-wheeled riders and inanimate objects at a range of up to 300 meters. Arba's chips were selected by four leading manufacturers in the automotive field (Tier 1 companies): Veoneer, Valeo, Hirain, Weifu and are in the process of testing the technology with over 30 automakers, smart transportation companies and trucks.
Ahnology that identifies motorcycles from a distance, photo: Tomer Feder
An interesting development in thefield of safety comes from Athena, which takes the field of warning against child forgetfulness one step further. Unlike existing systems based on weight sensors in the rear seat, a camera or an existing warning based on opening the rear door, Athena offers an identification system based on a sensor that monitors the CO2 level in the locked vehicle, and after such a change is detected a short time later, an alert is sent to the car owner's cell phone. According to company officials, the product has already been patented and is about to be released next year.
Yedidim volunteers rescue a child locked in a car, Photo: Friends Spokesperson
Valens Semiconductor is a chip and semiconductor company with breakthrough technology for high-speed communication in the audiovideo and automotive fields. Valens' technology enables the transfer of information at a fast pace and of high quality, which is a necessity for the automotive industry as the vehicle becomes characterized by a "supercomputer" equipped with more sensors, electronic devices, cameras, screens and devices. These require a much higher rate of information transfer than exists today, without delay and loss of information.
Ecomotion Conference 2023,
In the field of transport management, one of the most prominent companies isNoTraffic. The company's technology already serves millions of vehicles in major US states and cities, including Texas, California, Phoenix and Pennsylvania. The development of NoTraffic makes it possible to connect nodes to the cloud in less than an hour, and allows traffic lights to operate autonomously, in real time, based on policy settings that can be implemented at the touch of a button. The company's technology can identify, catalog and map all road users and their expected travel routes. It reduces road congestion while increasing safety, and reduces emissions. In addition, the platform enables communication between infrastructure and vehicles (V2X) today, enabling a new era of connected and autonomous vehicles.
Software that allows you to adjust traffic lights in real time during times of stress, photo: Dudu Greenspan
UVeye (Under Vehicle Eye) is a company that has developed cameras that digitally scan vehicles and accurately check vehicle tires, underbelly and related accessories while detecting defects, missing parts and safety defects, and does so at an unprecedented speed of a few seconds. The company is already a supplier of test systems to General Motors and Ford.
In the field of artificial intelligence,Sifia stood out, which is an auto-tech company that develops, manufactures and markets advanced technologies and systems for driver and vehicle interior monitoring for vehicle manufacturers and vehicle fleets. Sifia's system uses image processing and artificial intelligence to monitor drivers and vehicle interiors, including a dedicated driver monitoring device designed for fleets. The computer-vision technology and artificial intelligence underlying the system analyzes infrared (IR) images in order to assess the driver's behavior by tracking the driver's facial features and appearance (identifying visual markers, such as eyelids, pupils, direction of gaze, etc.), and translating them into the physiological significance of the driver's condition (fatigue, distractions, talking on the phone, etc.), thus helping to improve safety.
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