Harish V. Mekali

The Matter protocol, created by the connectivity standards alliance (CSA), comes in with a single standard to make sure these devices can connect and be controlled across platforms like Google Home, Apple HomeKit, Amazon Alexa, and Samsung SmartThings. The rapid expansion of the internet of things (IoT) is driving the urgent need for secure and efficient onboarding processes for a wide range of connected devices. It necessitates a robust framework to seamlessly integrate new additions into existing systems while upholding security standards. This initiative focuses on implementing the Matter protocol on ESP32 devices, employing a Raspberry Pi hub as the central communication point to facilitate smooth device-to-hub interactions. This work presents the onboarding devices for interconnected IoT systems using the Matter protocol. The Matter device is configured and tested within the Amazon ecosystem using an Alexa Echo Dot, as well as with the smart home assistant ecosystem along with a smartphone application. By configuring the Raspberry Pi hub as a designated Matter hub and exploring interactions within the home assistant ecosystem supporting diverse platforms like Apple HomeKit and Google Home, the work enhanced interoperability and broadened the utility of IoT devices within an interconnected network. This initiative forges a foundation for an adaptable and cohesive IoT environment.

This paper aims at proposing a novel pothole detection system, which assists the driver to avoid potholes on the roads by giving prior warnings. The idea is to build a robot vehicle that is capable of detecting the potholes and transferring this information to the nearby vehicles in the vicinity. By sharing the information about potholes with the nearby vehicles, the probability of accidents or collision can be reduced. Here, we propose a pothole detection model, which can detect the potholes with a minimum depth of 1 inch and share the information within 100 m range. This idea can be extended to design vehicles capable of detecting the humps or other irregularities on the roads. The application illustrated in this work can be effectively used to reduce the problem of increasing accidents caused due to potholes.

An idea and nurturing the idea to create a project and implementation of the same has huge learning potential apart from the excitement of the results and involving in continues self-education. Any advanced subject at higher semester can adopt the project based learning as they already covered the basics in the lower semester. Industries are very much open to such an experiment and very cautious on deliverables by practice. They are encouraging project based learning and working very close to academia through their dedicated university programs. Internet being most widely embraced by the young generation, an attempt has been made to use the facilities like googles mail, blog, drives and youtube to the maximum for maintaining continues involvement and hence demonstrated the use of same in the education system. Being an autonomous institute is very good opportunity to adopt innovative teaching learning methods. Advanced Microcontroller and its application course being an elective at 3^rd year of engineering education, offered for students having the knowledge of microcontrollers and programing language was more suitable for the project based learning. One such experiment is made in BMS College of Engineering(BMSCE), Bangalore. Methodology adopted and the results of the same have been covered in this paper.