This paper is published in Volume-8, Issue-5, 2023
Area
IoT and Web Development
Author
Dr. Rahul Pol, Pranali Sapte, Niraj Indani, Akanksha Shinde, Rahil Khan
Org/Univ
Vishwakarma Institute of Information Technology, Pune, Maharashtra, India
Pub. Date
04 January, 2023
Paper ID
V8I5-1277
Publisher
Keywords
ESP32-CAM, Arduino UNO, Video Streaming, Website, smart helmet.

Citationsacebook

IEEE
Dr. Rahul Pol, Pranali Sapte, Niraj Indani, Akanksha Shinde, Rahil Khan. Smart Helmet Data Streaming, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Dr. Rahul Pol, Pranali Sapte, Niraj Indani, Akanksha Shinde, Rahil Khan (2023). Smart Helmet Data Streaming. International Journal of Advance Research, Ideas and Innovations in Technology, 8(5) www.IJARIIT.com.

MLA
Dr. Rahul Pol, Pranali Sapte, Niraj Indani, Akanksha Shinde, Rahil Khan. "Smart Helmet Data Streaming." International Journal of Advance Research, Ideas and Innovations in Technology 8.5 (2023). www.IJARIIT.com.

Abstract

The world is progressing towards modernity and people are becoming smarter. Today, the impact of technology in our lives is immeasurable and one of the greatest examples of modern technology is Smart Helmet Data Streaming which could be the light at the end of the tunnel. A smart helmet is a type of protective headgear used by the user(worker) which not only protects the user but also has certain smart functionalities like recording a video. The main purpose of this helmet is to provide video surveillance. This can be implemented by using ESP32-CAM and Arduino which can be streamed on a website. This makes it a smart helmet. ESP32-CAM comes with an OV2640 camera and provides an onboard TF card slot. The ESP32-CAM can be widely used in intelligent IoT applications such as wireless video monitoring, Wi-Fi image upload, QR identification, and so on. Which can be used widely for detecting crime, monitoring scenarios and activities, gathering evidence, arriving at the right decisions and maintaining records. Critical surgeries require to be broadcasted to a wider staff and students as a means for engaging, real-time learning. Live streaming can deliver high quality video from the OR to various users and devices. The literature survey done for the same is mentioned in further parts of the report. Around 7 IEEE papers have been referred to for the study and framing of the problem statement. Loopholes amongst the papers or future work mentioned in them provisioned the project with gap identification and thus trying to resolve the same.