Build an Intruder Detector Solution

Monitor a predefined, restricted area and receive alerts when someone enters that space.

Target Operating System Ubuntu* 16.04 LTS
Programming Language C++
Time to Complete 50 - 70 minutes

View on GitHub*

What It Does

Learn to build and run an application that:

Detects any number of objects entering a defined space

Leverages the inference capabilities of the OpenVINO™ toolkit

Uses models for multiclass object detection

This reference implementation uses the inference engine included in the OpenVINO™ toolkit to create a smart video IoT solution. A trained neural network detects objects within a designated area by displaying a green bounding box over them, and then registers them in a logging system.

What We Used

Hardware Requirements

6th generation Intel® Core™ processor with Intel® Iris® Pro graphics and Intel® HD Graphics

Software Requirements

Ubuntu* 16.04 LTS
Note: You must be running kernel version 4.7 or greater to use this software. We recommend using a 4.14 or greater kernel to use this software.

OpenCL™ Runtime

OpenVINO™ toolkit