Description

ABSTRACT

The concept like an Autonomous car which is emerged with more sensor to make it as autonomous, for detecting obstacles, vehicles or pedestrians. Which are all done by sensor fusion which is done by merging every sensor reading to predict the pedestrians, Instead of using a lot of sensors to predict the obstacle, we can use the camera to identify the distance between the camera to the object, which is used to reduce the number of the sensor being used to predict the obstacle.

BLOCK DIAGRAM

 

BLOCK DIAGRAM DESCRIPTION

In the above Block diagram, Raspberry Pi is used as the core system, where the camera is connected to the Raspberry Pi.

 

PROJECT DESCRIPTION

This Raspberry Pi system described measuring the distance by using the camera, through Open Computer Vision technology. Which will measure the distance without using any sensor, only by using camera distance got measured in the unit of feet. To make it get good distance value, we need to calibrate the camera to which is placed at the known distance from an object. After calibration, then whenever you change the distance according to the basic calibration, distance get calculated which the object is placed in front of the object, which is detected by measuring the maximum contour detected in the grayscale image.

 

HARDWARE REQUIRED

• Raspberry Pi
• Power Adapter
• HDMI to VGA converter (optional, when connecting to Monitor)
• Camera

SOFTWARE REQUIRED

• SD Card Formatter
• Win32 Disk Imager (or) Etcher

 

LIBRARIES USED

• Cv2
• Time library (For Delay functions)

 

CONCLUSION

By this Raspberry Pi with camera project, you will learn to measure the distance without any sensor, by using the camera with having calibration before we are measuring the distance of an object