In the realm of technology, innovation knows no bounds, and Carnegie Mellon University students have proven just that. Ten remarkable projects, crafted using the iRobota Nano 33 BLE Sense, Tiny Machine Learning Kit, and Edge Impulse ML platform, have emerged, showcasing the limitless possibilities of edge computing and machine learning.
Wrist-based Human Activity Recognition: A Symphony of Motion
Imagine a world where your wristwatch can effortlessly distinguish between handwashing, brushing teeth, and simply idling. Omkar Savkur, Nicholas Toldalagi, and Kevin Xie have made this a reality. Their model, trained on accelerometer and microphone data, grants devices the ability to recognize these activities with remarkable accuracy.
Categorizing Trash with Sound: SBTrashCat’s Symphony of Waste
Jacky Wang and Gordonson Yan’s project, SBTrashCat, takes a unique approach to waste management. By harnessing the power of sound recognition, SBTrashCat can identify different types of trash based solely on the sounds they produce when tossed into a bin. This innovative solution paves the way for more efficient and eco-friendly waste sorting.
Distributed Edge Machine Learning: A Collaborative Edge
In the realm of edge computing, collaboration is key. Jong-Ik Park, Chad Taylor, and Anudeep Bolimera have devised a system where multiple edge devices seamlessly collaborate to execute a single embedded model. This groundbreaking approach unlocks new possibilities for distributed intelligence and enhanced performance.
Predictive Maintenance for Electric Motors: Preventing Catastrophic Failures
Abhishek Basrithaya and Yuyang Xu have taken a proactive stance in preventing electric motor failures. Their project employs deep learning techniques and an IMU/camera combination to accurately predict motor failures before they occur. This innovative solution empowers industries to minimize downtime, optimize maintenance schedules, and ensure uninterrupted operations.
Estimating Inventory in Real-time with Computer Vision: A Clear View of Stock
Netra Trivedi, Rishi Pachipulusu, and Cathy Tungyun have addressed the challenge of real-time inventory estimation. By leveraging computer vision, their project empowers the Nano 33 BLE Sense to calculate empty shelf space with remarkable precision. This breakthrough enables businesses to maintain optimal stock levels, reduce wastage, and enhance supply chain efficiency.
Dog Movement Tracking: Unleashing Canine Potential
Ajith Potluri, Eion Tyacke, and Parker Crain have created a revolutionary dog collar that tracks a dog’s daily activities and transmits the data to a smartphone via Bluetooth. This ingenious device empowers dog owners to monitor their furry companions’ exercise, rest, and play patterns, fostering a deeper understanding of their canine friends.
Intelligent Bird Feeding System: A Feast for the Feathered
Eric Wu, Harry Rosmann, and Blaine Huey have developed an intelligent bird feeding system that utilizes a camera module to distinguish between birds and squirrels. This innovative approach ensures that feathered friends receive their fair share of nourishment, while deterring unwanted guests from the bird feeder.
Improving One’s Exercise Form: A Path to Fitness Perfection
Addesh Bhargava, Varun Jain, and Rohan Paranjape have combined computer vision and IMU data to create a project that accurately assesses squatting form. This groundbreaking solution provides valuable feedback to users, helping them refine their technique and achieve optimal fitness results.
Bonus: The projects showcased by Carnegie Mellon University students serve as a testament to the transformative power of technology. These innovations not only address real-world challenges but also inspire us to imagine a future where edge computing and machine learning seamlessly integrate into our daily lives. As technology continues to evolve, we can anticipate even more remarkable creations that will shape the way we live, work, and interact with the world around us.
In conclusion, the projects undertaken by Carnegie Mellon University students exemplify the boundless potential of technology to revolutionize various aspects of our lives. From enhancing healthcare to optimizing industrial processes, these innovations pave the way for a future where technology empowers us to tackle challenges, unlock new opportunities, and create a better world for all.
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