If you want to estimate distance of objects with your simple webcam, then this algorithm(Triangle similarity) would be helpful for you to find Distance from object to camera, I have provide to two examples, one is simple face detection and distance Estimation, other is Yolo4 object detection and distance Estimation

Here in this readme file you will get short description, if need more details, then you can watch video tutorial on YouTube as well.

Distance Estimation Youtube Tutorail

Distance & Speed Estimation Youtube Tutorial

YoloV4 Object Detection & Distance Estimation Project GitHub Repository

✔️ here is source code and details for Instllation of Opencv-python on 🍓 Pi 😃 Distance Estimation on Raspberry pi 🍓

✔️ I have included Speed Estimation code is well check that out.

✔️ You can find the implementation of Distance estimation of multiple objects using Yolo V4 Object Detector Opencv-python

git clone https://github.com/Asadullah-Dal17/Distance_measurement_using_single_camera

• Windows

  pip install opencv-python

• install Opencv-python on Linux or Mac

  pip3 install opencv-python

• windows: 👇

  python distance.py

  ------ OR ---------

  python Updated_distance.py

• linux or Mac 👇

  python3 distance.py

  ------ OR ---------

  python3 Updated_distance.py

# focal length finder function
def focal_length(measured_distance, real_width, width_in_rf_image):

    focal_length_value = (width_in_rf_image * measured_distance) / real_width
    #return focal length.
    return focal_length_value

The Focal Length finder Function has three Arguments:

measured_distance is the distance which we have measured while capturing the reference image:straightruler:. **_From object to Camera** which is Known_distance = 72.2 #centimeter

real_width It's measured as the width of the object in the real world, here I measured the width of the face in real-world which was Known_width =14.3 # centimetre

width_in_rf_image is the width of the object in the image/frame it will be in pixels

# Distance estimation function

def distance_finder(focal_length, real_face_width, face_width_in_frame):

    distance = (real_face_width * focal_length)/face_width_in_frame
    return distance

This Function takes three Arguments,

Focal_Length is the focal length, out of the FocalLength finder function.

real_face_width measures the width of an object in the real world, here I measured the width of a face in real-world which was Known_width =14.3 #centimeter

face_width_in_frame is the width of the face in the frame, the unit will be pixels here.

I have also created Face Following Robot which uses distance Estimation If you are interested you can Watch my Youtube Video You can create the following Robot with Raspberry That would be easy then, using Arduino Stuff, Raspberry 🍓 Pi will make it a system on Robot 🤖

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You can Watch my Video Tutorial on Computer Vision Topics, just check out my YouTube Channel

If You have any questions or need help in CV Project, Feel free to DM on Instagram

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