Embedded Deep Learning, ECE, Carnegie Mellon University
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    Projects Fall 2023


    ECE, Carnegie Mellon University
    • Workout Tracker nnkk

      Saral Tayal , David Cooper , and Tianhao Ye

      Posted on December, 2023

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      Our project aimed to create an exercise-counter wearable based on a 6-axis IMU that would strap on their wrist, like a smartwatch, to count reps of various exercises performed. The motivation behind this was helping individuals at the gym keep... [Read More]
    • Produce Detector

      Sai Mitheran J., Omar Alama, Abdullah Alaijan

      Posted on December, 2023

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      Our project delivers a machine learning innovation to revolutionize self-checkout systems in the retail sector by introducing YOLOv8 [1] on the Jetson Nano that proficiently identifies and tallies a wide range of produce. This system tackles the challenge of manual... [Read More]
    • Speech Light Control System

      Aishwarya Joshi, Iris Dong, and Sreekesh Devanathan

      Posted on December, 2023

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      Our main goal is to create a system which allows users to control light color and/or brightness through the use of speech commands. The commands would be preceded by a wake word, “nano”, to indicate that a command has been... [Read More]
    • Parking Detection with TinyML

      Nathan Litzinger, Saurabh Roychowdhury, and Saumya Bhandarkar

      Posted on December, 2023

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      Paying for parking is still a hassle in 2023. Whether in a garage or on the street, there is no single, low-cost, ubiquitous system that can be deployed everywhere. Therefore, we set out to create a low-cost, automated parking detection... [Read More]
    • Acoustic Emanations by Embedded Device Attack on Keyboard

      Cheng-De (Jerry) Lin and Tejas Bana

      Posted on December, 2023

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      Deep learning (DL) has been a primary security concern of the data leak. Several studies have reported that laptop keystrokes can be classified by DL and a microphone that records the keystroke acoustics. However, much uncertainty still exists about the... [Read More]
    • Realtime Person Identification via Gait Analysis

      Shanmuga Venkatachalam, Harideep Nair, Prabhu Vellaisamy, and Yongqi (Aria) Zhou

      Posted on December, 2023

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      Each person has a unique gait, i.e., walking style, that can be used as a biometric for personal identification. Recent works have demonstrated effective gait recognition using deep neural networks, however most of these works predominantly focus on classification accuracy... [Read More]
    • Sound Classification for Semiterrestrial Crabs

      Latifah Almaghrabi

      Posted on December, 2023

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      Semiterrestrial crabs evolved adaptations that allow them to stay out of the water for extended periods of time. The implication is that they experience and contribute to a rich soundscape. The project reported here aims to detect and classify sounds... [Read More]
    • Virtual Boxing Trainer

      Gokulapriyan Balaji, Prithviraj Vijayaraj, and Revanth Varma Kantheti

      Posted on December, 2023

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      Learn boxing moves of punch, hook, upper, and block with this wearable device. [Read More]
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