DeepHPD - Deep Human Presence Detection

Contributers : Sree Harsha Nelaturu, Anith Patel, Avyay Sah

DeepHPD is a novel application which uses Deep Learning in order to detect the presence of a human being. This is done by using a combination of Convolutional Neural Networks and OpenCV which along with a Raspberry pi and Basler Dart Camera, which blinks an LED when it detects human presence.

Software Used :

• Tensorflow
• OpenCV
• Numpy
• RPi-GPIO
• CUDA

The two classes provided by the classifier are:

1. human
2. nohuman

For running the project, Key files required are :

1. Inference.py - Uses weights of trained Convolutional Neural Network for classification
2. LED-Blink.py - Script to be run to use inferred labels from footage in order to detect humans and blink LED

Once these resources are compiled, run LED-Blink.py to access the program.

Sample: [INPUT] Footage via Basler DART is taken via OpenCV

[OUTPUT] Label : "human" LED Blinks