Battery Optimized People Counting Using FIR and AI

Battery Optimized People Counting Using FIR and AI

tinyML via YouTube Direct link

Introduction

1 of 47

1 of 47

Introduction

Class Central Classrooms beta

YouTube playlists curated by Class Central.

Classroom Contents

Battery Optimized People Counting Using FIR and AI

Automatically move to the next video in the Classroom when playback concludes

  1. 1 Introduction
  2. 2 Sponsors
  3. 3 tinyML events
  4. 4 tinyML community
  5. 5 tinyML YouTube channel
  6. 6 next tinyML talk
  7. 7 moderator
  8. 8 Introducing Lucas David
  9. 9 About tinyML
  10. 10 About the PortalBeam
  11. 11 Tech spec
  12. 12 Challenges
  13. 13 First challenge
  14. 14 Second challenge
  15. 15 Data collection
  16. 16 Bad pixels
  17. 17 Noise
  18. 18 Temperature
  19. 19 Thermal camera
  20. 20 People counting
  21. 21 footfall
  22. 22 processing pipeline
  23. 23 Mesh connection
  24. 24 First of all we did
  25. 25 Did you find that it was per camera
  26. 26 Did you stick to 8080
  27. 27 Did you use a video camera
  28. 28 Quantization of the network
  29. 29 Neural network
  30. 30 Quantization
  31. 31 Performance comparison
  32. 32 Coordinates
  33. 33 Mixed precision
  34. 34 No other questions
  35. 35 No performance comparison
  36. 36 Why not daily
  37. 37 Calibration
  38. 38 Success
  39. 39 Network accuracy
  40. 40 Firmware updates
  41. 41 Passive infrared sensor
  42. 42 Privacy
  43. 43 Hiding the camera
  44. 44 Patent applications
  45. 45 Uncertainty evaluation
  46. 46 Training
  47. 47 Conclusion

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.