IoT and Smart Systems Lab

In IoT and Smart Systems Lab, we work on system level implementation related to IoT applications like Smart Healthcare, Water and Air Quality Monitoring, Precision Agriculture, Structural Health Monitoring etc.

1. Smart Gloves for Automatic Speech Generation

Our lab (in collab with AIIMS Jodhpur) has developed IoT enabled gloves for language independent automatic speech generation. These gloves convert finger movements into speech in different languages and can be useful for people who have lost their speaking ability due to accident.

Members Involved - Sneha Prasad, Ajay B, Dr. Sumit Kalra, Dr. Abhinav Dixit, Dr. Amit Goyal, Dr. Nithin Nair

2. Intelligent Carpet for Human Gait Analysis

A fibre-optic based carpet is developed for analyzing the gait (walking pattern) of a person. This technique known as Photonic Guided Path Tomography (Photonic GPT) is helpful in early detection and diagnosis of several diseases by analyzing the pressure exerted on different areas of a person's feet. 

3. IoT Enabled Water Quality Monitoring System

An IoT enabled real-time water quality monitoring system has been developed to monitor pH, TDS, turbidity and conductivity at point-of-use locations. The system is based on MQTT protocol where the sensor nodes (implemented on ESP 8266) act as publishers, edge server (implemented on Raspberry Pi 4) as broker and the users as subscribers. 

4. LoRa based Air Quality Monitoring System

A long distance data communication network using LoRa technology has been implemented for monitoring air quality. The system consisted of a LoRa Hat (SX 1268) interfaced with a Raspberry Pi to provide uninterrupted communication upto 4 km LOS.

5. LoRa based Health Monitoring System for Soldiers

A long distance healthcare monitoring system has been implemented using standalone LoRa module (CC 1310). The system monitors ECG, SpO2, heart-rate and body temperature of the soldiers posted in remote border areas and sends the data to the control room located upto 3 kms over 868 MHz channel. This system can be useful in health monitoring of soldiers in the areas with no internet / cellular connectivity.

6. Contactless Structural Health Monitoring

The natural frequency of large structures is inspected and predicted using novel feature based clustering algorithm. The proposed method is computationally less expensive and can be used to measure and visualize the dynamic response of large structures.