Reggaeton Be Gone
summary
A prototype called Reggaeton Be Gone is presented, built with a Raspberry Pi, Python, and edge machine learning to detect and remove reggaeton music; the talk explains the system design, training process, limitations, and how the prototype is assembled. The presenter (Roni Bandini) has a background in information security, coding, fiction about tech, eCommerce, and prior speaking at events, and focuses on conceptual machines and edge ML prototypes.
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chapters (23)
- 0:00Introduction
- 1:34What is Reggaeton Bigón
- 3:20Warnings and limits
- 7:37Required components
- 10:50Circuit and wiring
- 12:163D cabinet and assembly
- 14:06OS installation
- 16:14Software setup
- 17:59Mic configuration
- 18:41AI introduction
- 20:46ML for detection
- 24:19Audio data prep
- 27:32Model training
- 32:29Deployment and tests
- 37:00Python code and operation
- 41:19Execution and automation
- 42:02Bluetooth board tests
- 42:47Bluetooth device scan
- 45:37Range and detection improvements
- 47:25Version 2.0 improvements
- 48:48Files and resources
- 50:13Maker counterculture workshops
- 51:36Closing and Q&A
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