Volume 16, Issue 3 (2026)

Table of contents

• Published Subscription Review Article 22 Oct 2026

  Automated Student Checkout System using IoT and RFID

  By P. K. Kumar, Atharva S. Zende, Niranjan N. Bandal

  Abstract: The proposed Automated Student Checkout System using IoT and RFID offers an effective and intelligent solution for handling item borrowing and returning in an academic environment such as a library or laboratory. Existing manual record-keeping systems are usually slow, prone to errors, and work intensively. To address this problem, an integrated solution is designed using RFID and IoT-based communication to automate the checkout process. Each student has their own RFID …

  Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 3, 2026 Read article →

• Published Subscription Review Article 29 Oct 2026

  IoT-Based Smart Public Sanitation Monitoring System with Real-Time Air Quality Analysis

  By Shimpi Harshada Shashikant, Kharde Ekata Vinod, Gambhir Shruti Hemant, Deore Tejaswini Prakash, Swati Pandurang Baviskar

  Abstract: Maintaining hygiene in public sanitation facilities remains a critical challenge in urban environments due to inefficient monitoring and delayed maintenance responses. This paper presents an IoT-enabled smart toilet monitoring system designed to assess and manage restroom cleanliness in real time using environmental sensing and automated decision-making. The proposed system integrates multiple gas sensors (MQ135, MQ8, MQ4) and temperature sensors with an Arduino Uno to continuously monitor air quality parameters such …

  Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 3, 2026 Read article →

• Published Subscription Review Article 29 Oct 2026

  TinyML-Based Real-Time Industrial Fault Detection Using Vibration Signals

  By Sarvesh Mahimkar, Bhakti Gavali, Aditi Gavali, Jyoti Ghadage, Vaibhav Godase

  Abstract: Industrial rotating machinery is commonly monitored through vibration measurements because changes in bearing condition can alter signal amplitude, impulsiveness, and spectral distribution. Cloud-centred analytics may introduce communication dependence, bandwidth demand, and response delay. Tiny Machine Learning (TinyML) offers a complementary approach by executing compact inference locally on resource-constrained edge hardware. This paper presents a reproducible, deployment-oriented workflow for vibration-based machine-state classification using statistical and spectral features with small classifiers suitable …

  Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 3, 2026 Read article →

• Published Subscription Review Article 29 Oct 2026

  EcoSense AI: An Intelligent IoT-Based Environmental Monitoring and Forecasting System

  By Prince Asthana, Aakash Kumar, Abhishek Kumar Saxena, Vivek Singh

  Abstract: Environmental degradation caused by air, water, and soil pollution poses a severe global threat to human health and ecosystem stability. Existing IoT- based monitoring systems classify only current pollution levels but lack predictive capability, geospatial context, and tamper-proof data integrity. This paper presents EcoSense AI—a unified low-cost intelligent environmental monitoring system built on an ESP32 microcontroller with MQ135, DHT11, turbidity, and GPS sensors. The system integrates a Random Forest classifier …

  Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 3, 2026 Read article →