Need for security and human resources for monitoring are growing nowadays. Current security systems are static in nature, lack analysis and prone to several threats and attacks. Alternative proctoring robots are hardwired, cannot reuse and expensive to implement making it unfit for Industrial and Public uses. Therefore, we propose a low-cost, re-configurable autonomous robot system for security and monitoring purposes. The robot system architecture is inspired from cloud data centre architecture where the applications are sandboxed and virtualized for efficient utilization of resources. The AI Model, Source Code, Executable scripts, internal resources are contained as a docker container. These containers are called as modules which are connected in a loosely coupled format. Modules can be replaced, added, deleted, updated, scaled over within the robot. Modules are classified as functional and auxiliary where functional modules performs AI operations, analysis and auxiliary modules performs remote results streaming, recording data also backing up footage and data to private or public cloud. The autonomous machine’s camera is virtualized for simultaneous camera access by modules and to reduce computational overhead. As the resource utilization is optimized the power consumption is also reduced with combined efficiency of ARM and RISC-V chipsets. Thus, with this configurable, power efficiency, autonomous robot we hope to improve the quality of life and standards in public and industrial work places.
