Method for deep neural network functional module deduplication

Abstract

In one embodiment, an image sensor captures an image and passes the image to an image processing system that detects one or more vehicle objects and one or more human objects, using a single detection function having a single artificial intelligence (AI) model. Each of the detected objects correspond to a portion of the captured image. For each vehicle object, the corresponding image portion is processed to determine a plurality of properties of the vehicle, including, e.g., type (truck, van, sedan, motorcycle, etc.), color, and license number. For each human object, the corresponding portion of the image is processed to determine a plurality of properties of the human, e.g., gender, approximate age, skin tone, eye color, hair color, and facial landmarks for facial recognition. The captured image is annotated to describe the objects and their properties, and annotated image is transmitted to a service for use by an application.