Annotation Of Facial Features Using Object Detection and Classification
Case StudiesAnnotation Of Facial Features Using Object Detection and Classification
Metrics
To become the leader in infotainment and automotive solutions, the client realised that Driver Monitoring was emerging as an essential requirement for Advanced Driver Assistant Systems (ADAS) and autonomous driving and hence had to develop driver safety modules that includes Face Recognition, Emotion Detection, Child detection and Activity detection.While Driver Management Solutions have been developed using computer vision and other image processing approaches, fine tuning of parameters like specific facial features and annotating head and eye tracking and blink rate monitoring was required.
Approach
Intellekt, as a pioneer and expert in annotation and computer vision, partnered with the client to prepare data for their Machine Learning (ML)models. Intellekt spearheaded the annotation of facial features using object detection and classification. With Head Pose detection and gaze detection being a challenge for the client, Intellekt stepped in to identify and tag yaw, pitch and roll along with other environmental factors such as lighting, occlusions and expressions todevelop a person-independent, non-intrusive model and algorithm.
Results
By integrating and incorporating gaze detection and head pose estimation in driver safety modules, algorithm accuracy was improvised, and the initial prototype was successfully deployed.