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Computer vision for your projects
This document discusses using open source computer vision (CV) for projects. It describes how the author used CV on a Raspberry Pi with a Pi camera for tasks like detecting car high/low beams, detecting and identifying car brands and positions, and detecting traffic signs. The author explains how they used ffmpeg to grab video frames and ImageMagick to convert them to grayscale without Google's help. OpenCV and JeVois are introduced as open source CV libraries that can be used for tasks like object detection, face recognition, and detecting predefined shapes. Examples are given of how CV could be applied to projects like detecting faces and calling a secretary, detecting lights and controlling street lights, detecting objects to alert drivers or trigger OCR, and detecting
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Computer vision for your projects
- 1.
- 2. Who am I? ●Chief System Architect of ● I teach Network Security and Linux System Administration
- 3. Why am Italking about computer vision?
- 4. I have acar :)
- 5. I have acar :) I have a Raspberry Pi
- 6. I have acar :) I have a Raspberry Pi I know programming
- 7. So what didI wanted?
- 8. ➢ Car High/Lowbeams detection
- 9. ➢ Car High/Lowbeams detection ➢ Car detection
- 10. ➢ Car High/Lowbeams detection ➢ Car detection ➢ brand
- 11. ➢ Car High/Lowbeams detection ➢ Car detection ➢ brand ➢ position why position?
- 12. ➢ Car High/Lowbeams detection ➢ Car detection ➢ brand ➢ position why position? ➢ to point the LIDAR in that direction and get the distance to that car
- 13. ➢ Car High/Lowbeams 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 startedall that?
- 15. How I startedall that? ➢ NO GOOGLE was involved in these steps :)
- 16. How I startedall that? ➢ NO GOOGLE was involved in these steps :) ➢ ffmpeg for grabbing frames from rtsp stream
- 17. How I startedall that? ➢ NO GOOGLE was involved in these steps :) ➢ ffmpeg for grabbing frames from rtsp stream ➢ ImageMagick for converting them to grayscale
- 18. How I startedall 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 startedall 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 computervision OpenCV - http://opencv.org JeVois - started Jan.2017
- 21. What can youdo with CV?
- 22.
- 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 youhave CV... How can you use it in your own projects?
- 27. Detect aface call the secretary do additional match for face recognitioning
- 28. Detect lights turn off high beams turn on street lights
- 29. Detect anobject 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 agesture dim the lights turn on the heating call a friend turn on/off some device
- 31. How can youstart?
- 32. ➢ JeVois isa nice, easy way
- 33. ➢ JeVois isa nice, easy way ➢ Raspbery Pi + Pi Camera
- 34. ➢ JeVois isa nice, easy way ➢ Raspbery Pi + Pi Camera ➢ Home PC + USB camera
- 35.
- 40.