B3

King Abdulaziz University + Imam Mohammad Ibn Saud Islamic University et al. · LidSonic V2.0

TFmini Plus

Sensors 22(19), 7435 · 2022 · DOI 10.3390/s22197435 · CC BY 4.0

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The system incorporates the following hardware components, as shown in Figure 6: TFmini Plus LiDAR, an ultrasonic sensor, Bluetooth, Arduino Uno, and the user's smartphone.

Sources

LidSonic V2.0: A LiDAR and Deep-Learning-Based Green Assistive Edge Device to Enhance Mobility for the Visually Impaired
Sahar Busaeed, Iyad Katib, Aiiad Albeshi, Juan M. Corchado, Tan Yigitcanlar, Rashid Mehmood; Sensors 22(19), 7435, 2022; DOI 10.3390/s22197435. Licensed under CC BY 4.0. Full pages reproduced; transparent source-passage highlights added to the supplied evidence page. CC BY 4.0