Welcome to Owl Autonomous Imaging
New Pedestrian Safety Regulations Are Here!
Are You Ready?
Pedestrian deaths are on the rise, propelling governments around the globe to launch new mandates to improve night-time pedestrian safety. Learn More.
More people are getting hurt or killed while walking on the road, even though there are new safety features on cars. The safety sensors on cars don’t work well at night, when most accidents happen. Because of this, governments around the world are changing the rules for testing pedestrian safety.
It will soon be required for cars to have better ways to see pedestrians and other objects of interest on the road at night. The NHTSA ruling on pedestrian safety will go into effect in September 2029 and the current sensor suite will need thermal sensors.
Owl AI is on the forefront of enabling this strategic challenge.
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Statistics Prove the Current ADAS Camera and Radar Sensor Suite is Failing
700K
Annual worldwide pedestrian fatalities
77
% increase in pedestrian deaths in last decade (US)
76
% of deaths occur at night
6
# of continents where government regulations are coming for pedestrian nighttime safety
1
out of 23 vehicles using cameras & radar passed all tests in nighttime IIHS test
0
# of RGB image sensors that can see in complete darkness
Can You See at Night?
Long Wave Infrared Thermal Does!
The goal is reducing collisions between automobiles and pedestrians (or animals) at night by providing actionable object identification and location data to effect automatic emergency braking systems.
We accomplish this by examining the patterns of infrared radiation emitted by warm bodies to provide both position and distance measures.
- LWIR sees at night
- Especially living objects
- Even a deer
Thermal in Action:
See Through Snow, Fog, Rain and Bright Lights
Thermal in the Snow
LWIR works by measuring temperature within each pixel.
NEDT (noise equivalent differential temperature) is the key figure of merit which is used to qualify long-wave (LWIR) infrared cameras. It is a signal-to-noise parameter which represents the temperature difference which would produce a signal equal to the camera’s temporal noise.
Thermal in the Rain
Video taken with a telephoto lens in a driving rain storm.
LWIR operates in the 8k-14K nm spectrum. Obscurants, such as rain and fog do not affect images as greatly as they do with visible light cameras or LiDAR which operate in the 400-700 nm and 905-1550 nm regions respectively
Thermal in Bright Lights
Bright lights overwhelm regular cameras, just like they do your eyes.
This video is from The Strip in Las Vegas. On the left is a regular camera, thermal is on the right. Notice how Owl computer vision sees pedestrians clearly, and much earlier, compared to visual cameras.
Thermal in Smoke
Firefighters have used thermal imagers to see and rescue victims through smoke, for years. This video uses a simple fog machine with thermal on the left and a visual light camera on the right to simulate the experience.
Owl AI Products
GMSL2 and FDP Link options provide a highly reliable thermal camera core with best in class software configuration tools in an automobile qualified configuration
Perception software designed for classification, segmentation and ranging. Trained specifically for LWIR datasets
Start trying thermal imaging today with the Owl Proof of Concept Evaluation System. Includes LWIR camera and AI SW to get going today!
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