Abstract: In recent years robots have become a vital part of technology. Surveillance robots play a important role in enhancing security and monitoring capabilities in various domains, ranging from public safety and military applications to industrial facilities and private premises. These robots are equipped with advanced sensors, cameras, and communication systems to gather real-time data and provide situational awareness in both indoor and outdoor environments. This abstract highlights the key features and benefits of surveillance robots, focusing on their capabilities, deployment scenarios, and potential challenges. Surveillance robots are designed to navigate through complex environments autonomously or remotely, collecting visual and auditory information while transmitting it to a control center or human operators. They leverage technologies such as computer vision, machine learning, and sensor fusion to detect and track objects, recognize faces, identify anomalies, and monitor critical areas. These robots can be deployed in diverse settings, including public spaces, transportation hubs, critical infrastructure, and hazardous environments where human presence may be risky or impractical.
The use of surveillance robots offers numerous advantages. They can provide persistent surveillance without fatigue or distractions, cover large areas efficiently, and respond rapidly to security incidents or emergencies. Their ability to operate in challenging conditions, such as low-light environments or areas with restricted access, enhances overall security and threat detection capabilities. Additionally, surveillance robots can be equipped with additional functionalities, such as two-way communication, integration with existing security systems, and the ability to carry out routine patrols or inspections.
However, the deployment of surveillance robots also presents challenges. Ensuring reliable navigation and obstacle avoidance, maintaining continuous power supply, optimizing data transmission and storage, and addressing privacy concerns are among the key considerations. Ethical and legal frameworks must be established to define the boundaries of surveillance activities and protect individual privacy rights.
 
Keywords: Arduino UNO, ESP 32 CAM Module, Sensors, Metal detector, LDR, Surveillance.

| DOI: 10.17148/IARJSET.2023.10662