Automatic Gadget Charger Using Coin Detection

Gunjan Chhabra, Pardeep Singh, Alankrita Aggarwal

Jan 2022 · BFC Publications

About this ebook

This book is related to a research conducted in the field of energy alternative resources, where a option source is used as energy source for charging mobile battery. The coin-based mobile battery charger that is being developed in this research would provide a unique service to the rural public where grid power is not available for partial/full daytime and a source of revenue for site providers. The coin-based mobile battery charger would be quickly and easily installed outside any business premises. The mobile phone market is a vast industry, and has spread into rural areas as an essential means of communication. While the urban population uses more sophisticated mobiles with good power batteries lasting for several days, the rural population buys the pre-owned mobile phones that require charging frequently. Many times battery becomes flat in the middle of conversation particularly at inconvenient times when access to a standard charger isn't possible. The coin-based mobile battery chargers would be designed to solve this problem. The user would have to plug the mobile phone into one of the adapters and insert a coin; the phone would then be given a micro-pulse for charging. It would not bring a mobile from 'dead' to fully charged state. The charging capacity of the mobile is designed with the help of pre-defined values. It is, of course, possible to continue charging the mobile by inserting more coins. This compact and lightweight product is designed to cater for the growing number of rural mobile users worldwide. A suitable microcontroller is programmed for all the controlling applications. The source for charging is obtained from direct power grid and solar energy in case of non-availability of grid power.

About the author

Dr. Gunjan Chhabra is working as an Assistant professor (Senior Scale) in School of Computer Science at University of Petroleum and Energy studies, Dehradun. He has teaching experience of 8 years and his areas of expertise are Algorithms, Image processing and Machine learning. He has published six Patents and several research papers in many renowned journals. He has also mentored many projects in different domains of Computer Science. Under his guidance, some of his students have successfully incubated their ideas.

Dr. Pardeep Singh is an Assistant Professor (Senior Scale) in School of Computer Science of the University of Petroleum and Energy Studies, Dehradun. He has completed his B.Tech. Computer Engineering from the Kurukshetra University, Kurukshetra, India in 2007, M.Tech. in Computer Science & Engineering from the Punjab Technical University, Jalandhar, India in 2013 and Ph.D. in Computer Science from the Punjabi University, Patiala, India in 2021. He has 14 years of experience in teaching and 6 years of research experience related to Computer Science & Engineering. His research is situated in the field of Heuristic and Meta-heuristic approaches for problem solving, Cloud Computing, Machine Learning, and IoT

Alankrita Aggarwal has done BE & M.Tech in Computer Science and Engineering affiliated to MDU, Rohtak, Haryana (India) having experience of 18 years. She is working as an Assistant Professor in department of Computer Science and Engineering, Panipat Institute of Engineering and Technology, Samalkha (Haryana) affiliated to Kurukshetra University, Kurukshetra ,Haryana(India). She is doing Ph.D from IKGPTU, Kapurthala, Punjab (India).