Innovative developer joaquim silveira has showcased the untapped potential of outdated smart devices by transforming an old Roomba vacuum into an AI-powered dog treat dispenser.
This inventive project emerged serendipitously when Silveira purchased a second-hand Roomba for spare parts.He decided to breathe new life into the device by integrating a Raspberry Pi 4, emphasizing an eco-pleasant approach that prioritizes the use of salvaged components over new purchases.
The system’s core combines the raspberry Pi 4 with an Arduino Mega 5V, wich acts as an interface for signal conversion. Power is supplied by an external battery, while a camera module enables the robot to detect the presence of a dog. once the pet is identified, a servo motor activates to dispense treats stored in a simple paper cup.
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The Roomba Robot Utilizes NASA-Developed software
A standout feature of this project, dubbed “space vacuum,” is its surprising software choice. instead of using customary programming languages like Python, Silveira opted for Fprime, a flight software developed by NASA’s Jet Propulsion Laboratory.This solution provides a graphical interface for real-time monitoring of the robot’s status. The artificial intelligence component is managed by TensorFlow for image recognition.
The creator has made the entire source code available on github, allowing other enthusiasts to replicate or enhance the project. This achievement perfectly illustrates how combining a Raspberry Pi with existing hardware can lead to creative and practical solutions for everyday life.
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There is a growing trend of technological “upcycling,” where creators give new life to obsolete devices instead of discarding them. As artificial intelligence technologies become increasingly accessible for innovative personal projects, it is likely that we will see a surge in such creations in the coming years.
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By focusing on these areas, the editorial team at Time.news can foster a robust and engaging discussion that not only improves editorial practices but also strengthens audience connections.
