Devices, systems, and methods for automatic object detection, identification, and tracking

An object detection system, the system comprising:

• one or more processors;
• memory in communication with the one or more processors and storing instructions that are configured to cause the system to:
• receive video data from one or more cameras;
• process one or more first frames of the video data using one or more machine learning models of a first group of machine learning models to detect one or more objects, wherein each machine learning model of the first group of machine learning models is trained to detect different types of objects;
• responsive to detecting a first object of the one or more objects using a first machine learning model of the first group of machine learning models, process one or more second frames of the video data using the first machine learning model to track characteristics of the first object over time;
• and
• calculate derived characteristics from the tracked characteristics.

An object detection system, the system comprising:

• one or more processors;
• memory in communication with the one or more processors and storing instructions that are configured to cause the system to:
• receive video data from one or more sensors;
• process the video data to detect one or more objects using a first group of one or more machine learning models;
• track characteristics of the one or more objects over time;
• classify, using a second group of one or more machine learning models, each of the one or more objects based on the tracked characteristics;
• compare each of the classifications to a database of known objects;
• predict an estimated identity of each of the one or more objects based on the comparison;
• and
• predict a future path of motion for each of the one or more objects based on the estimated identity and the tracked characteristics.