Using computer vision to enhance your projects

1. Open Source Open Source
Computer VisionComputer Vision
for your projectsfor your projects
Marian HackMan Marinov <mm@siteground.com>

2. Who am I?
● Chief System Architect of
● I teach Network Security and Linux System
Administration

3. Why am I talking about computer vision?

4. I have a car :)

5. I have a car :)
I have a Raspberry Pi

6. I have a car :)
I have a Raspberry Pi
I know programming

7. So what did I wanted?

8. ➢ Car High/Low beams detection

9. ➢ Car High/Low beams detection
➢ Car detection

10. ➢ Car High/Low beams detection
➢ Car detection
➢ brand

11. ➢ Car High/Low beams detection
➢ Car detection
➢ brand
➢ position
why position?

12. ➢ Car High/Low beams detection
➢ Car detection
➢ brand
➢ position
why position?
➢ to point the LIDAR in that direction and get
the distance to that car

13. ➢ Car High/Low beams detection
➢ Car detection
➢ brand
➢ position
why position?
➢ to point the LIDAR in that direction and get
the distance to that car
➢ Traffic signs detection

14. How I started all that?

15. How I started all that?
➢ NO GOOGLE was involved in these steps :)

16. How I started all that?
➢ NO GOOGLE was involved in these steps :)
➢ ffmpeg for grabbing frames from rtsp stream

17. How I started all that?
➢ NO GOOGLE was involved in these steps :)
➢ ffmpeg for grabbing frames from rtsp stream
➢ ImageMagick for converting them to grayscale

18. How I started all that?
➢ NO GOOGLE was involved in these steps :)
➢ ffmpeg for grabbing frames from rtsp stream
➢ ImageMagick for converting them to grayscale
➢ Then read the docs of ffmpeg and used it for
grayscale

19. How I started all that?
➢ NO GOOGLE was involved in these steps :)
➢ ffmpeg for grabbing frames from rtsp stream
➢ ImageMagick for converting them to grayscale
➢ Then read the docs of ffmpeg and used it for
grayscale
➢ My own franken vision matrix analysis algorithm

20. Open Source computer vision
OpenCV - http://opencv.org
JeVois - started Jan.2017

21. What can you do with CV?

22. ➢ Object detection

23. ➢ Object detection
➢ Face recognition

24. ➢ Object detection
➢ Face recognition
➢ Predefined shapes eg. square, triangle and
etc.

25. ➢ Object detection
➢ Face recognition
➢ Predefined shapes eg. square, triangle and
etc.
➢ Pre-trained image, like apples, squirrels, dogs,
traffic signs and etc.

26. Now that you have CV...
How can you use it in your own projects?

27.  Detect a face
 call the secretary
do additional match for face recognitioning

28.  Detect lights
 turn off high beams
turn on street lights

29.  Detect an object
 alert the driver
 prevent the robot from hitting that object
trigger OCR over that part of the image
trigger OCR and store the car number

30.  Detect a gesture
 dim the lights
 turn on the heating
call a friend
turn on/off some device

31. How can you start?

32. ➢ JeVois is a nice, easy way

33. ➢ JeVois is a nice, easy way
➢ Raspbery Pi + Pi Camera

34. ➢ JeVois is a nice, easy way
➢ Raspbery Pi + Pi Camera
➢ Home PC + USB camera

35. Some examples

40. Thank yoU!