https://matjournals.net/engineering/index.php/JoAAEn <p><strong>JoAAE</strong> is a peer reviewed Journal in the discipline of Engineering published by the MAT Journals Pvt. Ltd. The Journal provides a platform to Researchers, Academicians, Scholars, Professionals and students in the Domain of Mechanical Engineering to promulgate their Research/Review/Case studies in the field of Automation and Automobile Engineering. The Journal aims to promote high quality empirical Research, Review articles, case studies and short communications mainly focused on Safety Engineering, Fuel Economy/Emissions, NVH Engineering (Noise, Vibration and Harshness), Manufacturing, Vehicle Dynamics, Engine Construction, Manufacturing Automation, and Mechatronics.</p> en-US Journal of Automation and Automobile Engineering https://matjournals.net/engineering/index.php/JoAAEn/article/view/2490 <p><em>This study presents the design and implementation of a cost-effective Arduino-based automated weight sorting system for classifying small objects across multiple categories. The system operates in the 50-350 g range using a 5 kg load cell coupled with an HX711 24-bit ADC, achieving a measurement resolution of ±1.5 g. A servo-driven diverter mechanism, consisting of MG995 and SG90 actuators, is integrated with a DC gear motor-powered conveyor belt to perform real-time sorting. An ATmega328P-based Arduino nano microcontroller governs weight acquisition, threshold-based decision making, gate actuation, and data logging. User interaction is facilitated through a 16×2 I²C LCD and push-button interface, enabling live monitoring and configuration of sorting parameters without external software. The prototype is assembled on a compact plywood frame with vibration isolation and electrical safety features to ensure stable operation. The experimental results demonstrated a classification accuracy of 80%, continuous performance for up to 8 hours, and a maximum throughput of 25 items per minute. Owing to its modular architecture and replicable design, the proposed system shows strong potential for small-scale industrial automation, laboratory research, and academic applications.</em></p> Shrest Gupta Prashanth D Ayush Kumar Abhishek Kushwaha S K Harisha Copyright (c) 2025 Journal of Automation and Automobile Engineering 2025-09-29 2025-09-29 16 21 https://matjournals.net/engineering/index.php/JoAAEn/article/view/2463 <p><em>Road traffic accidents remain a major public health challenge globally, causing over 1.35 million deaths and tens of millions of injuries annually. A critical factor contributing to high mortality rates is the delayed arrival of emergency services, often exacerbated by ineffective or delayed accident reporting mechanisms. In recent years, the advancement of embedded systems, sensor technology, and wireless communication has paved the way for automated accident detection and notification systems that can significantly reduce emergency response times. This study proposes a smart car accident detection and emergency alert system that employs a combination of impact sensors, global positioning system (GPS), and global system for mobile communications (GSM) technologies to detect collisions automatically, determine precise vehicle location, and dispatch real-time alerts to emergency responders and preset contacts. The system is designed to be cost-effective, scalable, and adaptable to both modern and legacy vehicles, addressing current limitations such as false positives and GPS signal degradation. Experimental results demonstrate that the proposed system reduces notification latency and enhances passenger safety, contributing toward improved post-accident outcomes. This integration of sensor data and communication technologies represents a promising approach in intelligent transportation systems aimed at reducing fatalities and improving emergency response efficacy.</em></p> Vikas Jadhav Vaishnavi Bagal Shweta Bodkhe Avinash Somatkar Vishal Chahare Copyright (c) 2025 Journal of Automation and Automobile Engineering 2025-09-22 2025-09-22 1 15