000			03329nam a22003137a 4500
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040			_bEnglish. _cCvSU-CCAT Campus Library. _erda.
050			_aUM TJ 223.P76 _bAl43 2022
100			_aAlban, Rowena B., author _99593
245			_aAdvanced cane stick with high-end sensor and voice assistant using bluetooth device for visually impaired / _cRowena B. Alban, Melissa V. Juvida, and Melanie D. Gualvez.
260			_aRosario, Cavite : _bCavite State University-CCAT Campus, _c2022.
300			_axiv, 88 leaves : _billustrations ; _c28 cm
500			_aA design project (BSCpE)--Cavite State University-CCAT Campus, 2022.
504			_aIncludes bibliographical references and appendices.
520			_aMELISSA V. JUVIDA., ROWENA B. ALBAN., MELANIE D. GUALVEZ., Advanced Cane Stick with High-end Sensor and Voice Assistant using Bluetooth Devices for Visually Impaired. Design Project. Bachelor of Science in Computer Engineering. Cavite State University - Cavite College of Arts and Trades Campus, Rosario, Cavite. May 2022. Adviser: Engr. Kenneth J. Enrico. Technical Critic: Engr. Michael M. Ramos Jr. The study titled "Advanced Cane Stick with High-end Sensor and Voice Assistant using Bluetooth Devices for Visually Impaired", Specifically, the study aimed to: 1) To develop advance cane stick for Visually impaired; 2) To an improve advanced cane stick that can; a) Detect a collision; b) Paired with a mobile phone for the voice assistant, and; c) waterproof component; 3) Evaluate the project in term of following parameters; a) Accuracy; b) Sustainability; $) evaluate the system through ISO 25010. The system is based on distance measurement property of the ultrasonic sensor with Arduino Uno as micocontroller. It will measure the distance of the obstacle in the way of the person and will alarm the person about any obstacle (moving/stationary) if it is less than to the safe zone distance. The researchers were able to develop a system that ca detect an obstacle in the way using Microcontroller Technology. The final output of the project gave a clear view of what actually the physical prototype is. The technical aspects of the hardware and software of the prototype were evaluated using ISO 25010 Model. Based on the result of the testing and evaluation, the device can accurately and precisely detect the collision within the parameters of the cane stick sensor, including their voice assistant. It was tested and evaluated three times, back and fort. The result of this study shows that output project successfully met all of its objectives. The evaluation related with an overall mean of 4.40 with a descriptive rating of "Excellent".
546			_aIn English text.
650			_aArduino Uno. _99204
650			_aEmbedded computer systems -- Design and construction. _99594
650			_aArduino (Programmable controller). _92867
650			_aMicro controller. _99595
700			_aJuvina, Melissa V., author. _99596
700			_aGualvez, Melanie D., author. _99597
700			_aEnrico, Kenneth J., adviser. _95547
700			_aRamos, Michael M., technical critic. _99598
942			_2lcc _cT/M/D _hTJ 223.P76 Al43 2022 _kUM
999			_c2829 _d2829