Nowadays modern society is over flooded with humongous masses of visual data. There exist many image analysis methods to dive into this sea of visual information. The constituents of these images and videos can be analyzed and further processed to recognize the useful information. The detection, identification, and localization of different objects could prove to be of mammoth use and can play a significant part in modern devices and technologies. This paper represents a comparative study of several entity recognizing methods like YOLO, Faster R-CNN and R-CNN over different parameters such as mAP, FPS, etc. This paper also introduces an intelligent system (robot) that is capable of localizing an object and following it in real-time. The required input image is provided by the ESP32 cam module which can be mounted on the robot. Machine Learning Algorithms are used for object detection. Position coordinates received are then used to locate, track and follow the moving object. Furthermore, it is of interest as it can scale down human tasks and help mortals to be aware of minute details about certain objects.

The world is becoming smart as IoT is now an integral part of individuals' routine lives. To control any devices at any place and at anytime from anywhere is now just a matter of access. The goal of this work is to provide simple, efficient, cost-effective, and reliable communication system for traffic management. Keeping in view the aim of smart city, after cleanliness, traffic is the major concern nowadays. A case study is presented through proposed model in this work that will help in improving traffic condition of the city. The available data is analyzed and processed through Raspberry-pi. This data is simultaneously being updated at the web server through cloud. Based on the data available in real time, the system enables controlling traffic system dynamically. This helps in reducing congestion and provides fast going way for heavy vehicular traffic. The system can be clubbed with existing centralized traffic control system in the Indore city to manage traffic conditions in a better way.

Today, automation is preferred in every sector. Automated systems being more flexible to use, offers high accuracy and reliability in long term operations as compared to manual operated systems. Problems faced by farmers in the agricultural system are of great concern these days. This work is an attempt to implement automation for control of electrical motor or pump used in agriculture domain. The agriculture work by its nature is a field job, hence devices used are sparsely distributed. This makes it difficult for farmers to control and operate these devices in real time. With the emerging technologies, we have seen the advent of many wireless communication techniques, having lower operating cost along with interactive protocols. The system's operational range is scaled up by the use of the GSM communication system. This work suggested a method which utilizes the potential of low power, high speed microcontrollers by using widely accepted open source Android platform. The proposed model enables us to control the field devices over a wireless link which is GSM based and can read signals from sensors connected in the field and can send the sensed electrical parameters of the motor or pump to an Android device. A GUI (Graphical User Interface) is developed for Android device and successfully performed testing for switching ON and OFF of the motor or pump remotely. Also, provided a simple display of availability of power at remote locations.