Learn how to build a solution that identifies people within a specific area and measures the distance between them. A red bounding box appears and a visual alert is triggered if the distance between them is less than a specified amount.
Gain insight into:
Computer vision applications for IoT
Inference to analyze datasets
Retail market IoT
Learn to build and run an application with these capabilities:
❶ Use a deep neural network model to detect and observe shoppers.
❷ Measure the distance between shoppers.
How It Works
The application uses the captured video source and works as follows:
❶ A trained neural network detects people in the frame of interest.
❷ A person reidentification model extracts features from detected people.
❸ The application calculates the distance between people based on each person’s location, size, and perspective.
❹ A red bounding box identifies shoppers who are closer together than the predetermined distance.
What You Need
Intel® Core™ processor (6th generation and higher) or Intel® Xeon® processor