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Enhancing user Safety with Real-Time Object Detection and Vibration Feedback: A Mobile Application integrated with Yolov5, Flutter, and nRF52 Hardware

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Author :  Zhefu Lei

Affiliation :  Lexington Christian Academy

Country :  USA

Category :  Biology

Volume, Issue, Month, Year :  15, 19, October, 2025

Abstract :


Providing a means of navigation for hard of seeing individuals has always been a challenge. The most infamous is the white walking cane that people usually associate with the hard of seeing. However, while the cane has undoubtedly helped many navigate their surroundings, the limitations posed are overtly clear when it comes to navigating with a white cane. The solution posed in this paper, the EchoSense, is a vest composed of an onboard microprocessor, distance sensors, haptic motors, and a corresponding mobile application. The vest will alert the user of immediate obstructions to their path using the distance sensors and haptic motors, while the mobile app uses advanced real-time object detection to alert the user of specific objects in their path via vibrations from the mobile app as well as vibrations from the vest in the direction of the recognized object [1]. The onboard microprocessor is a bluefruit nRF52, and uses Adafruit distance sensors and haptic motor controllers. The mobile application was built using the Flutter framework, and is available on both iOS and Google Play stores [2].

Keyword :  Real-time object detection, Mobile application, Yolov5, Bluetooth connectivity, Vibration feedback

Journal/ Proceedings Name :  CS&IT

URL :  https://aircconline.com/csit/abstract/v15n19/csit151924.html

User Name : alex
Posted 21-10-2026 on 00:27:27 AEDT



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