With this application, you use a trained neural network to detect objects within a designated area by displaying a green bounding box over them, and then register them in a logging system. You can detect bicyclists, people, and cars moving through a camera frame in order to identify and track activity.
Gain insight into the following solutions:
Computer vision applications for IoT
Inference to analyze datasets
Industrial, retail, and smart building IoT markets
Learn to build and run an application with these capabilities:
❶ Detect any number of objects entering a defined space.
❷ Leverage the inference capabilities of the Intel® Distribution of OpenVINO™ toolkit.
❸ Use models for multiclass object detection.
How It Works
This application uses a camera system to monitor a fixed space such as building parking lot after business hours.
❶ The camera monitors the space and detects activity.
❷ A trained neural network detects objects such as cars and people.
❸ A registration of the event is recorded in a logging system.