Rocket Launch with Google Assistant and IOT
Manamohana M
Dept. of Computer Science and Engineering
(IoT, Cyber Security including Blockchain Technology)
Maharaja Institute of Technology Mysore
Karnataka, India
manamohanam8277@gmail.com
Keerthan gowda T R
Dept. of Computer Science and Engineering
(IoT, Cyber Security including Blockchain Technology)
Maharaja Institute of Technology Mysore
Karnataka, India
keerthangowda989@gmail.com
Priya M L
Dept. of Computer Science and Engineering
(IoT, Cyber Security including Blockchain Technology)
Maharaja Institute of Technology Mysore
Karnataka, India
priyaml020105@gmail.com
Seema C K
Assistant Professor
Dept. of Computer Science and Engineering
(IoT, Cyber Security including Blockchain Technology)
Maharaja Institute of Technology Mysore
Karnataka, India
seema_csic@mitmysore.in
Abstract— Conventional rocket ignition systems require operators to remain in close physical proximity to the launcher, which increases the risk of burns, accidental ignition, and operational failure due to misfires. Recent advancements in Internet of Things (IoT), cloud computing, and voiceenabled automation provide new opportunities to improve safety and reliability in such safety-critical systems. This paper presents the design and implementation of a voice-controlled rocket launcher using Google Assistant, Sinric Pro cloud platform, and an ESP8266 microcontroller. User voice commands are processed through a cloud-based communication layer and transmitted securely to the embedded controller, which regulates launcher orientation and initiates ignition using a relay-controlled nichrome wire heating mechanism. Electrical isolation, time-restricted ignition, and remote operation are employed to ensure safe and reliable system behavior. Experimental evaluation demonstrates low command latency, accurate execution, and consistent ignition performance under controlled conditions. The proposed system illustrates the feasibility of integrating cloud-assisted voice control with embedded ignition mechanisms and serves as a practical framework for educational, experimental, and safety-oriented automation applications.
