The drones can be used to detect a group of people who are unmasked and do not maintain social distance. In this paper, a deep learning-enabled drone is designed for mask detection and social distance monitoring. A drone is one of the unmanned systems that can be automated. This system mainly focuses on Industrial Internet of Things (IIoT) monitoring using Raspberry Pi 4. This drone automation system sends alerts to the people via speaker for maintaining the social distance. This system captures images and detects unmasked persons using faster regions with convolutional neural network (faster R-CNN) model. When the system detects unmasked persons, it sends their details to respective authorities and the nearest police station. The built model covers the majority of face detection using different benchmark datasets. OpenCV camera utilizes 24/7 service reports on a daily basis using Raspberry Pi 4 and a faster R-CNN algorithm.

New technologies are launching on every day in Indian agriculture. But it is expensive and high power consumption. We proposed a reliable system with low power usage and introduced an agricultural engineering project that is known as UREA spraying system using Unmanned Aerial Vehicle. That is rapidly upcoming method for remote-sensing data acquisition, mostly aerial green field images and derived products. By now, the systems are less weight and cost-effective, the improvement of the sensors and their good enable a relative safe operation with good satisfaction of customer. This Project introduced a high-performance quad-rotor model that is built around a high implementation, which is all direction (0°-360°) supports with high payloads through less weight materials and advanced brush-less BLDC motors. The UAV is 1.8m in diameter, weighs 3litre in total, and generates a maximum lift of 8 kg. Without payload the maximum flying time is around 60min. The UAV programmed using Arduino through network. The UAV solve the problem using RTOS for any critical situation. The paper also focuses to land edge detection, atmospheric climate detection through camera required to obtain accurate remote sensing products that are useful for plants monitoring and Urea Spraying equally to each ground in sector-wise. UAV speed is 100m/minute. UAV spraying time is 1 hour/acre with 4 rounds. UAV carrying weight is 5 liter of urea content. It has Manual mode for manual operation and auto mode for repeated operations. Arduino Controller is used for UAV lifting control and BLDC motor controller. We have designed four BLDC motor and designed a micro-strip patched antenna of RF transmitter with 2.919GHz for controlling the payload. This paper mainly proposed to Improvement in weight lifting capacity may leads to adding a more function in account of UAVs. The payload of our Quad-rotor is around from 1 litre to 5 litre water content which adds function of weight lifting in Agricultural fields for Urea spraying operations.