An AI-powered, real-time surveillance system that fuses YOLOv8 person detection, MediaPipe skeleton tracking, face recognition, and Telegram remote control to deliver intelligent zone-based intrusion detection, automated alerts, and visual monitoring from any camera.

In this project a robot that can be operated by authorized person or operator is implemented. For this purpose we use a face recognition system which is capable of identifying the authorized person which allows him to command and operate it. The face recognition system consists of a web based camera which captures the image of human and this image is processed in MATLAB software. After processing the image it generates the activation code for the robot to be operated. The hardware system is based on the ATMEL microcontroller and an Zigbee module. The system provides continuous visual monitoring through the small camera attached to the mobile robot, sending data to the control unit when necessary. Remote testing is done on the mobile robot for search and rescue missions via an established radio frequency (RF) communication using DIGI XBee RF module. Intelligent mobile robots and cooperative multi agent robotic systems can be very efficient tools to speed up search and research operations in remote areas. This prototype robot is capable of moving across area and remotely guided by a person who is directed and navigated using remote camera and computer.. Mobile robots using Zigbee protocol for the purpose of navigation using personal computer, implemented with wireless vision system for remote monitoring and control. Its main feature is its use of the Zigbee protocol as the communication medium between the mobile robot and the PC controller. The robot can be monitored only by authorized persons who are previously present in the database for security reasons. For this we utilize the Face recognition technology. It is a system which can automatically identify and verify the individuals face. Thus face and emotion recognition offers one of the most natural and less obtrusive bio metric measures of identification

Nowadays, there are more and more intrusion detection systems out there in the market that are designed for home uses. Most of them focus on not letting the intruder get in from the first place, but chances are that there are still ways intruders can break in, or simply sneak in and pretend to be an authorized person. What if there is a surveillance system that can detect and recognize every person that enter an area, and notify the owner if it detects an unauthorized person? That would add an extra layer of security to the properties. Back in the years, user would need to view the CCTV footages from a computer that connects to the camera, but now with smartphones/tablets, user can do everything they could only do in a desktop computer but now in a hand sized device. This project is to develop a low cost face recognition CCTV security system with a Raspberry pi, which can be remotely monitored and controlled by user at any time with their smartphone.

CCTV Training Provide training within the Process of Watching Over A Facility Which Is Under Suspicion or Area to Be Secured; Main a part of The Surveillance Electronic Security System Training Consists of Camera or CCTV Cameras Which Forms as Eyes to closed-circuit television. system may consist many components during which may include cameras for surveillance purpose and hard disc for recording purpose then on. CCTV cameras are often used for remote viewing from foreign places and a few of The CCTV Surveillance Systems consist Cameras, Networking Equipment’s, Monitors and IP Cameras. In This CCTV installation training in Hyderabad, we can use CCTV Detect and record the Crime Through theses Cameras, it gives Alarm after Receiving the Signal from The CCTV Cameras Which Are Connected to CCTV surveillance System. The Professionals and Students Willing to Take Up the CCTV and Access Control Courses and Certifications in Low Voltage Security System Training Institute in Hyderabad and for People Choose to Invest in A CCTV Surveillance Cameras Installation at Their Business and Home to Feel Safe and More Secure. even Though People install CCTV Cameras for many Reasons, CCTV Surveillance Camera Systems Helps People to Feel More secure and Gain Peace of Mind. CCTV Cameras helps People to Monitor the Activities of Their Business and Home When They Are Away using remote technology. Whether It is to Protect their Family, animals, Assets, Or Employees, CCTV Surveillance system Can Help people to Feel Assured That the Things which are Most Important to Them are Safe. CCTV Surveillance system training coves these things such as How a CCTV camera works, Introduction to CCTV system, what are the types of indoor and outdoor CCTV cameras, Analog and IP CCTV cameras, Designing of CCTV system, Power Supply used in CCTV system, System Requirements while installing CCTV system, Considerations while designing a CCTV System, what are the Components of a CCTV Systems, types of Transmission, types of Cable, what is IP Network Transmission, different types of Video Storage, what is DVR and NVR. A Digital Video closed-circuit television Provides Users with Superior Quality Compared to Older, Outdated Analog CCTV Systems. In Addition, there are Various new Features That Digital Video Recorder (DVR) or Network Video Recorder (NVR) Provides. Modern Security System Offers High Resolution (HD), more Hard Disk Storage Capacity, Event Search, Motion Detection, Remote Accessibility, Missing Object, Tripwire, And Many other Features also. Business Owners Can install Various Security Camera Around Multiple Business Locations and can make One Fully Integrated CCTV Surveillance system Solution using remote technology. 24/7 Surveillance Monitoring In CCTV Camera Course We Provide A Variety of Security Solutions to Professionals and Students To Help Clients of All Sizes Achieve Their Security Goals. the importance of having a cctv system is that can be seen from the fact that when the police officers use CCTV footage as evidence in court it is found to be inadmissible in most cases. it is true that anyone can tell a location and suggest a number of Cameras required, only those who have experience in this field, through an understanding about cctv surveillance system, we can generally be able to recommend a best CCTV Camera system that will give the customer a good picture with the good coverage. For example: During the visit to a college there was a CCTV camera at each end of the 30m corridors. And These cameras had standard wide-angled lenses which provided face recognition for the 3.5m of corridor nearest to the cameras. This is the case in 90% of the systems we do audit. If people came out of the classroom, committed some misdemeanor and then returned to their classroom there was no possibility of knowing who did and who they were. By setting the cameras so that it view the opposite end of the corridor and carefully choosing lenses the cameras will provide face recognition for half of the corridor, enabling the whole corridor to be viewed with pupils being recognized.

This project is an IoT-based smart security system designed to improve traditional security methods by incorporating modern technologies like face recognition, real-time alerts, and remote monitoring. It features a React Native mobile app for user management, live camera feed access, and an NLP-powered query system for easy interaction.

I developed a real-time surveillance system to detect and identify potential bicycle thefts using DeepSORT for tracking and face recognition for identity verification. The system records and uploads the data to a Firebase database for remote monitoring.

Developed an IoT-based Wi-Fi door lock system using ESP32-CAM and face recognition for secure, contactless access. The system captures and verifies faces in real-time, allowing only authorized users to unlock the door. Integrated with Firebase for remote monitoring and data storage, offering a smart, efficient solution for home security.

AI-powered online examination proctoring system that ensures secure and fair remote assessments using computer vision and deep learning. Features include face recognition, gaze tracking, object detection, audio monitoring, browser activity tracking, real-time alerts, and detailed proctoring reports.

Smart Doorbell System is an IoT-based project that uses ESP32-CAM for real-time face recognition and cloud logging. The system integrates computer vision, local processing with Python Flask, and Firebase for remote monitoring. It enhances home security with instant audio-visual feedback and modular smart home features.