- Students Info
(Link to project documentation folder to be placed here)
Recently there is an increase in number of cases of parents that forget their child in hot cars. In every ten days a child dies from vehicular heatstroke and since 1998 there have been 575 deaths in the United States alone. In those years 160 cases of children being forgotten in cars were reported in Israel.
Unfortunately these numbers are growing each year.
There are many types of solutions that can help to avoid forgetting kids in hot car but we chose to develop an alarm system based on image processing tools like face detection algorithm and image filtering.
The Viola–Jones object detection framework is the first to provide competitive object detection rates in real-time proposed in 2001 by Paul Viola and Michael Jones.
Although it can be trained to detect a variety of object classes, it was motivated primarily by the problem of face detection.
Using 24×24 pixels rectangle as detection window for scanning the image while looking for human faces.
The system is based on camera and computer.
The camera (in our demonstration GoPro) takes a picture of the back seat every 10 seconds.
The computer is connected to car’s computer and gets relevant information from it.
In order to know if there is child in the back-seat, and decide if he’s alone, we use image processing algorithm.
But first we use the front-seat pressure signal in order to determine if there is an adult driver in the car or not.
When the system decides there was a child left in the car, it turns on the alarm and informs the driver.
This unit is the core of our system and the reason for her success.
The unit can be divided to 5 main blocks : “Image Filtering”, “Viola & Jones”, “Image Rotation”, “More Than One Face ? ” and “Same Face in All Rotated Detections ?”.
Our system ‘False Positive’ rates (on specific 10 minutes video):
In our system : Out of 60 detections only 3 detections were false (5%) .
In a system that execute only Viola & Jones algorithm (without the preprocess that we’ve done) we get 15 false detections (25%).
This result (although its only from one video) show that we managed to improve Viola & Jones algorithm of course with the proper consideration that we’ve made.
We want to express our deep gratitude to Mark Sheinin, our supervisor, and to Johanan Erez, engineer in charge of VISL lab, for the guidance and consideration throughout this whole year.