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GreenVault : Solar-Powered, AI-Driven, and IoT-Enabled Smart Storage for Sustainable Agriculture
GreenVault : Solar-Powered, AI-Driven, and IoT-Enabled Smart Storage for Sustainable Agriculture
Completed (Sept 2024 - Nov 2024) | SRMIST, India
(Patent Filed)
This project develops a Smart Storage System to enhance food preservation and reduce post-harvest losses. Using IoT sensors, it monitors temperature, humidity, and gas levels in real-time. AI-powered spoilage detection identifies spoiled food automatically, while a custom mobile app allows remote monitoring and temperature control. Powered by solar energy, the system is eco-friendly and constructed with Biodegradable TPU, ensuring durability and sustainability. Suitable for agriculture, retail, and food distribution, this solution improves food safety and minimizes waste.
PLUGPAL
PLUGPAL
Completed (Dec 2023 - Present) | SRMIST, India
Funded by SIIEC - NewGen IEDC program by NSTEDB, Government of India.
(Patent Filed)
The rapid adoption of electric vehicles (EVs) has driven the need for efficient and convenient charging solutions. This study focuses on the design, implementation, and evaluation of an autonomous robotic arm tailored for EV charging. The system integrates YOLOv8-based charging port detection, achieving high accuracy in identifying various port types (e.g., CCS1: 100% recall, 0.962 mAP50; Tesla: 100% recall). The robotic arm is designed to interface seamlessly with EVs across brands, offering features like precise vehicle detection, automated plug-in, and real-time battery monitoring, ensuring a secure and efficient charging process.
EMMA: Enhanced Multitasking Medical Assistant
EMMA: Enhanced Multitasking Medical Assistant
Currently working from (Feb 2024)| SRMIST, India
EMMA is an autonomous robot which provides a comprehensive and networked solution by integrating health monitoring, data storage, AI based Health analysis, prescription management, emergency response, and navigation.
AViTRoN: Advanced Vision Track Routing and Navigation
AViTRoN: Advanced Vision Track Routing and Navigation
Currently working from (Dec 2023)| SRMIST, India
The ascent of electric vehicle (EV) technology as a leading solution for green transportation is accompanied by advancements in charging infrastructure and automation. A notable hindrance is the low level of automation in charging procedures. In response to this, Automatic Charging Robots (ACR) have emerged, equipped transitioning from the manual operation to an automated plugging and unplugging operation. However, for this process to be executed flawlessly, these robots necessitate a charging port detection system with a precise navigation system to ensure accurate insertion of the charging gun into the designated charging port. AViTRoN integrates advanced technologies to enable efficient charging port detection, navigation, and seamless user interaction. Utilizing the YOLOv8 deep learning model, AViTRoN ensures real-time charging port type detection using the data from a 3D depth sensor and an IR sensor within the Robot Operating System (ROS) framework. AViTRoN also incorporates a charging completion notification mechanism, sending instant alerts to users via GSM/GPRS communication upon the conclusion of the charging cycle, thereby enhancing user convenience and experience.
Integrated Real-Time Monitoring System for Sea Cage Fish Health Prediction
Integrated Real-Time Monitoring System for Sea Cage Fish Health Prediction
Currently working from (Dec 2023)| SRMIST, India
The open sea cages play a critical role in the aquaculture industry, especially as it strives to meet growing global demands. Positioned far from coastlines, these offshore cages present significant challenges for daily monitoring, making it difficult for fish farmers to ensure optimal conditions. This project introduces an innovative and cost-effective system designed for the remote monitoring of key seawater parameters, such as pH, turbidity, salinity, and dissolved oxygen (DO), which are vital to the health of various fish species. The proposed system utilizes various sensors, including pH, temperature, turbidity, and DO sensors, to collect real-time data on water quality. This data is then processed by a machine learning model. The model facilitates the early detection of anomalies in water quality, enabling timely interventions to mitigate risks to fish health. Furthermore, the system converts the collected data into user-friendly metrics, charts, and graphs, making it easily interpretable. This information is accessible via a web dashboard and cloud platform, employing MQTT and Node-RED protocols for communication. In case of critical conditions, the system also includes a GPRS communication module to alert users through SMS notifications. Additionally, GPS tracking is integrated to provide precise geolocation data.
MULTI TASKING AND WEATHER FORECASTING ROBOT USING ATMEGA328P MICROCONTROLLER
MULTI TASKING AND WEATHER FORECASTING ROBOT USING ATMEGA328P MICROCONTROLLER
Completed (Oct 2022 - Feb 2023) | SRMIST, India
A Robotic car supports manual, IR remote, gesture, and Voice control. It includes a weather forecast display and features line following, obstacle avoidance, and flame protection capabilities.
SELF-SORTING DUSTBIN
SELF-SORTING DUSTBIN
Completed (Sep 2022 - Jan 2023) | SRMIST, India
An Embedded-AI based dustbin that autonomously segregates waste like Metal, Paper, E-waste, Bio-degradable, and Non-Bio Degradable.
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