Use Case : Automotive
Car passenger’s wellness and comfort in electric cars
One of the main challenges in electric cars is to manage easily passenger’s wellness and comfort, without impacting battery operating life (more comfort often means more energy consumption). That’s why VALEO collaborates with SENSSIGHT to equip an EV vehicle with an embedded thermal infrared vision system.
Two kinds of vision devices have been installed in the car:
- One to capture the entire cabin, to count and locate people in the car. With these pieces of information, the smart car automatically adapts cabin temperature according to passengers’ needs. Thus, each heater is individually controlled to optimize the overall power consumption without impacting passengers’ comfort.
- One to extract from the infrared image of the driver’s face, some critical indicators of heat stress, such as his breathing rhythm and his skin temperature. So that the car can automatically adjust the heating level appropriately.
The objective is to have a better driving experience by combining wellness and mileage range.
SENSSIGHT has developed a specific infrared vision device for VALEO in only 5 months, that will be unveiled on CES 2018 VALEO booth (north plaza/gold lot – NP5).
Vision accuracy is a critical challenge for the future autonomous vehicles, to detect and characterize, in real time, in any weather conditions and without any error, the kind and distance of all impediments on the road. Thanks to an optimized infrared scan of the road, and a performant embedded treatment, SENSSIGHT optronic systems can provide to autonomous vehicles all data required for safety:
- Easily distinguish an object from a living being
- Detect and recognize vehicles, road markings and traffic signs
- During night and day, in any weather conditions (smoke, mist, atmospheric turbulences, snow …)
- Over a long range (> 60m visibility even in 0 lux)
People counting in public transportation
Passenger demand, which is the key
With a passenger counting system, transport managers gain accurate key performance measures like passengers per mile, cost per passenger and number of passengers per driver, so they can schedule and forecast, increase user satisfaction and reduce their travel times.
The most accurate passenger counting systems use closed-circuit television and intelligent people counters to log numbers of people getting on and off at each stop or station. Once installed, operators save considerably on training and paying people to count passengers on a particular route.
A video counting system is over 98% accurate. Compare this to manual passenger counting where counts are out by an average of 15%.
But visible images raise many problems: it is quite difficult to discriminate human beings out of the environment, image details require a complex treatment that cannot be done in
- in real time,
- respecting privacy,
- under any light conditions
- with any kind of infrared imagers