Submission declined on 18 March 2024 by Theroadislong (talk).
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The Reggaeton Be Gone is a viral [1] invention by Argentine maker Roni Bandini that addresses the struggle of dealing with excessively loud reggaeton music from neighboring Bluetooth speakers. Inspired by the old TV-B-Gone device, which gained fame two decades ago for discreetly turning off bothersome televisions and speakers in bars and restaurants, the Reggaeton Be Gone takes a modern twist by leveraging artificial intelligence (AI).
History
editReggaeton Be Gone was invented by Roni Bandini in February 20, 2023. The original prototype consists of a Raspberry Pi model 3, a push button, an Oled screen and a 3d printed front. The Source Code was written in Python and Edge Impulse platform was used for Machine Learning. Roni Bandini did publish a complete tutorial and the source code.
Recycled case
editThe original case was a recycled Focusrite Scarlet Solo enclosure.
How it works
editAI Training: The first step in creating this ingenious device is training an AI system to recognize reggaeton music. The system learns to identify reggaeton songs by using a Machine Learning classification algorithm.
Bluetooth Scanning: Using a Linux computer, a Bluetooth scan is made to identify the MAC address of the Bluetooth speaker emitting reggaeton noise.
Autonomous Action: Once reggaeton music is detected, the machine takes charge. It generates signal interferences and counterattacks the speakers by flooding them with connection requests. This either causes disconnection or significantly deteriorates the sound quality.
Volume Threshold
editFor the device to operate effectively, the neighbor’s reggaeton volume must be sufficiently high.
Controversy
editWhile hailed as a hero by many, Roni Bandini’s creation raises ethical and legal questions. Even when the Reggaeton Be Gone doesn’t block frequencies; it floods speakers with requests, so the potential implications remain evident.
References
edit- An invention to silence reggaeton with AI elpais.com
- Reggaeton Be Gone Tutorial hackster.io
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