Smart Automotive Manufacturing and Mobility as a Service.

Use Cases

Autonomous Vehicles : Power applications in the automotive industry that track various objects, assess changes in the environment, voice commands, and more with well-labeled training data.

Traffic Detection : Weave robust solutions of traffic object detection for supporting navigation and control functions into your car’s AI by feeding your systems with labeled common objects in traffic environments.

Street Segmentation : Assign the street scene image with RGB color code as required by the system down to every pixel according to the pre-determined list of object types relevant for self-driving vehicles.

Traffic Light Detection: Extract information from the traffic signals as well as road signs and help your models locate all the traffic lights and signs in an image with well-labeled data sets of traffic images.

Speech Recognition: Power voice and speech recognition solutions in connected cars trained on large-scale speech data collection and annotation to provide best in-car infotainment experience.

Traffic Behavior Prediction: The technological advancements in voice recognition, LiDAR, and cameras make it possible to model solutions in predicting driver behavior and intent in the traffic.