Microcontroller based speech recognition for event detection in a highschool Natthapol Nonthasri, Nittaya Muangnak*, Thanawat Soboon, Wiyada Natsangsri, and Anaphut Rattanakham
Article Sidebar
Main Article Content
Abstract
This article presents voice recognition techniques with the micro-controller devices. The devices recognized speech voice commands by converting it into a text message using the Google cloud speech-to-text API. The photo was taken by the system when the converted text message is matched with the words in the dictionary. The matter photo was then captured and stored on the Firebase cloud storage database while abnormal notifications were sent to the LINE application timely manner. As a result of finding, it is found that the voice recognition system can accept a variety of commands. A warning message will be sent to the relevant parties in a timely manner. To evaluate the system, we conducted the testing by 15 times of the event simulation for performance measurement. The system can be applied to check the abnormal situation in the school or the safety management organization.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
ลิขสิทธิ์ต้นฉบับที่ได้รับการตีพิมพ์ในวารสารนวัตกรรมวิทยาศาสตร์เพื่อการพัฒนาอย่างยั่งยืนถือเป็นกรรมสิทธิ์ของคณะวิทยาศาสตร์และเทคโนโลยี มหาวิทยาลัยสวนดุสิต ห้ามผู้ใดนำข้อความทั้งหมดหรือบางส่วนไปพิมพ์ซ้ำ เว้นแต่จะได้รับอนุญาตอย่างเป็นลายลักษณ์อักษรจากคณะวิทยาศาสตร์และเทคโนโลยี มหาวิทยาลัยสวนดุสิต นอกจากนี้ เนื้อหาที่ปรากฎในบทความเป็นความรับผิดชอบของผู้เขียน ทั้งนี้ไม่รวมความผิดพลาดอันเกิดจากเทคนิคการพิมพ์
References
A. D. A. P. S. N. and L. R. (2015). THREE WAY CONTROLLED ANDROID SMARTPHONE BASED, International Journal of Advanced Research in Computer and Communication Engineering, 4(9), 212–216.
A. K. and R. C. (2014). VOICE CONTROLLED ROBOT. International Journal of Innovative Research in Technology, 1(11), 338–344.
Arduino.Com. (2015). Arduino. Retrieved December 25, 2019, from http://www.arduino.com.
K. K. and D. J. S. (2015). ARDUINO BASED VOICE CONTROLLED ROBOT. International Research Journal of Engineering and Technology (IRJET), 02(01) 49–51.
Memon, A. A., Motan, I., Akbar, M. A., Hameed, S., & Hasan, M. ul. (2016). SPEECH RECOGNITION SYSTEM FOR A VOICE CONTROLLED ROBOT WITH REAL TIME OBSTACLE DETECTION AND AVOIDANCE. Retrieved June 5, 2019, from http://www.semanticscholar.org/paper/An-Automated-Robot-Car-Control-System-with-and-Ullah-Mumtaz/0801aa345660c09c2c63f23c5638843014064782.
Sohag, M., & Ahamed, M. A. (2015, June 5). Smart Home Security System Based on Microcontroller Using Internet and Android Smartphone. Retrieved June 3, 2019, from https://www.researchgate.net/publication/301675752_Smart_Home_Security_System_Based_on_Microcontroller_Using_Internet_and_Android_Smartphone.
S. N. and S. (2012). DESIGN OF A VOICE CONTROLLED ROBOTIC ARM FOR PICKING AND PLACING AN OBJECT. IOSR Journal of Engineering, 2(4), 670–673.
S. Panth and M. Jivani. (2014). HOME AUTOMATION SYSTEM (HAS) USING ANDROID FOR MOBILE PHONE. International Journal of Electronics and Computer Science Engineering, 3(1), 2277–1956.
V. M. Ibrahim and A. A. Victor. (2012). MICROCONTROLLER BASED ANTI-THEFT SECURITY SYSTEM USING GSM NETWORKS WITH TEXT MESSAGE AS FEEDBACK. International Journal of Engineering Research and Development, 2(10). 18–22.