Vehicle Pose Estimation
Our pose estimation neural network understands an object (vehicle) dimension and orientation in the 3-dimensional space (vector space) from a 2D image.
Edge AI Hardware
Our in-house developed camera device with a built-in AI accelerator is capable of 19 trillion operations per second.
Our patent pending technology is the first to combine Computer Vision and Physics Simulation to understand, effectively track, and predict vehicle movement, allowing us to improve the performance of Visual AI solutions and extend their range of applications.
Dataset Simulation Engine
Dataset Simulation Engine produces photorealistic, computer-generated images. Camera positions, weather conditions, lighting conditions, and object positions are generated randomly for each shot. We can generate a fully annotated scene along with a depth map in less than 30 seconds and our daily output is 5.000 scenes.