**3.3 Wireless sensor network**

Using radio signals, communication can be done in a self-configuring network of tiny sensor nodes called a wireless sensor network. To sense, monitor and understand the physical world around us, a wireless sensor network (WSN) is needed to be deployed in large quantities. It is a subject of high prospective technology, which has been successfully implemented and tested in a real-time scenario and is practically deployed for many applications in different areas. Its real-time application is capable of monitoring, responding immediately to user input or controlling an external environment. Sensors play an essential role in connecting the external environment to the computer system.

## **3.4 Graphics processing unit**

The graphic processing unit (GPU) is preferred over the central processing unit (CPU) as it has unique features of computational display operations, which are faster than the CPU. Thus, the graphical presentation of the data can be easily understood through it. The GPU devices have more active threads than existing computer resources. Radar signal processing (RSP) represents a complex task that involves advanced signal processing techniques and intense computational efforts. The computational load of modern radar signal processors is more complex. In most applications, real-time radar data processing is required with the constraints of space ever haunting. The gamut of radar signal processor hardware ranges from general-purpose hardware like PC, workstations or mainframes, and applicationspecific hardware such as multi-core processors to reconfigurable computing platforms such as field-programmable gate arrays (FPGA). Radar signal processing is a

data-parallel operation that also benefits from parallel processing architectures. The most promising of all high-performance computational architectures is the GPU, which can leverage hardware multithreading capabilities and single instruction multiple data (SIMD) or single instruction multiple threads (SIMT) execution schemes leading to incredible levels of performance on data-parallel based applications.

### **3.5 Advantages of periphery surveillance system**

This developed PSS has many advantages and capabilities in the mining environment. These include the ability to filter on distance, direction, angle, and velocity measurement of object target up to 150° horizontal detection and up to 400 m (depending upon the object's size). It provides accurate incident notifications at night and in all weather conditions like foggy weather, dusty environment, rainy weather etc. The system working has been for 24 hours in seven days (24 7) and detects moving objects in the periphery for intruder detection at remote locations. It receives all the radar measurement data and converts it into meaningful information/reports through TCP/IP, integrated display and storing of intrusion data and video for reports and records. Audio-visual warning at the site and in the control room is received and recorded.
