In a world where technology and art converge, a captivating project by Eduardo Padrón has emerged, blurring the lines between movement, light, and sound. Imagine a dancer’s graceful steps igniting a symphony of lights and melodies, creating an enchanting spectacle that captivates the senses.
The Synchronization Symphony
Eduardo’s project, aptly named “Dancing Lights,” is a testament to the power of tinyML, a field that enables machine learning on resource-constrained devices. At the heart of this project lies a Raspberry Pi 4, acting as the maestro of this synchronized symphony. It orchestrates communication between various IoT boards using the MQTT protocol, ensuring seamless coordination.
Capturing the Dancer’s Essence
To capture the dancer’s movements, an iRobota Nano 33 BLE Sense, equipped with an accelerometer, plays a pivotal role. This tiny sensor, a marvel of engineering, diligently collects data, transforming the dancer’s graceful gestures into a stream of digital information.
Training the TinyML Model
Once the movement data is captured, it embarks on a journey of transformation. A machine learning model, trained meticulously over 600 epochs, learns to recognize specific gestures, akin to a student deciphering a foreign language. This model, residing within the Raspberry Pi 4, becomes the interpreter of the dancer’s movements.
A Symphony of Light and Sound
When a gesture is detected, the Raspberry Pi 4, acting as the conductor, dispatches a message via MQTT to client devices, such as an ESP8266, which controls the lighting. Simultaneously, a video or audio clip, carefully paired with the gesture, is triggered, immersing the audience in a mesmerizing audiovisual experience.
Future Steps: Expanding the Horizon
Eduardo’s vision for “Dancing Lights” extends beyond its current capabilities. Bluetooth connectivity is on the horizon, promising wireless communication between the dancer and the system. Kinetic sculptures, adding a physical dimension to the performance, are also part of the plan. Furthermore, the exploration of additional animation effects will enhance the visual spectacle.
Recognition and Accolades
Eduardo’s innovative project has garnered well-deserved recognition. It emerged victorious in the TensorFlow Lite for Microcontrollers Challenge, a testament to its technical prowess and artistic merit. Additionally, DevPost, a prominent platform for showcasing innovative projects, featured “Dancing Lights,” further solidifying its place in the spotlight.
Bonus: Eduardo’s project serves as an inspiration, demonstrating the limitless possibilities when technology and art harmoniously coexist. It opens doors to novel forms of artistic expression, where movement, light, and sound intertwine, creating experiences that transcend the boundaries of traditional mediums.
In the realm of art and technology, “Dancing Lights” stands as a beacon of innovation, inviting us to reimagine the interplay between humans and machines. It is a testament to the boundless creativity that emerges when technology becomes an extension of artistic expression.
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