Industrial Internet of Things and Advanced Techniques for Sensor Data Aggregation and Fusion

9IoT-Based Animal Watch Safety Using Green Technology with Deep Learning Approach

Vineet Saxena¹, Prashant Dhage², Ghouse Basha M. A.³, Trupti Patil⁴, Mritunjay Rai^5* and Vishal Sharma⁶

¹College of Computing Science and Information Technology, Teerthanker Mahaveer University, Moradabad, Uttar Pradesh, India

²Symbiosis Law School Nagpur, Symbiosis International (Deemed University), Pune, India

³Department of Data Science & Analytics, Data Science & Analytics, School of Sciences, Jain(Deemed-to-be University), Bangalore, India

⁴Bharati Vidyapeeth Deemed to be University, Department of Engineering and Technology, Navi Mumbai, Maharashtra, India

⁵Department of Electrical and Electronics Engineering, Shri Ramswaroop Memorial University, Barabanki, Uttar Pradesh, India

⁶Department of Mechanical Engineering, Vivekananda Global University, Jaipur, India

Abstract

In this study, convolutional neural network (CNN)–based method for Internet of Things (IoT)–based object detection in photos of firearms is presented in green technology. The goal of the study is to create a powerful model that can locate and identify weapons in photos with accuracy in IoT. The suggested methodology involves model architecture creation, image preprocessing methods, and training on a dataset of firearm images in green technology. The results show that the CNN-based IoT model is effective at finding and locating weapons with a high degree of accuracy of 96.56%. The preparation of the dataset, which comprises ...