Recently, tech giant Amazon announced Intelligent Robot Astro for Business, offering monitoring patrols, security alerts, and other services to small and medium-sized business users. This aims to assist businesses in combating burglary and other crimes, as well as mitigating other risks.

Before that, Amazon also planned to overhaul its home intelligent robot Astro for Home, integrating advanced AI technology to enable robots to have ChatGPT-like dialogue functions. With products that keep pace with the times and expanding application boundaries, Amazon is firmly moving towards the robot empire with an increasingly rich product matrix.

Security is still known to be a huge headache for business owners, with data from the National Retail Federation showing that shop lifting and organized sporadic crime are responsible for nearly $100 billion in losses in 2022.

Large retailers are so concerned about theft hurting their profits that some are even forced to close their stores due to the high incidence of theft problems.

The emergence of security-oriented robots like Astro for Business provides small and medium-sized businesses with patrols, monitoring, and smart alerts to reduce burglaries and other threats.

In addition, the security robot can also add features such as smoke sensing, burglar alarm linkage, customized patrol routes, and cloud storage of images, which provides a mobile security system for hotels, retail stores, warehouses, and other commercial locations that require round-the-clock monitoring and can supplement the blind spots of traditional fixed surveillance cameras to improve the scope and effectiveness of monitoring.

The application of security robots will further promote automatic navigation, perception and interaction, and other core technologies to achieve further breakthroughs, and theSecurity Robotbusiness model will also be increasingly mature with the application, for the design of security robots involves a number of aspects of technology and systems integration:

Sensing technology: first of all, it needs to be equipped with a variety of sensors, including but not limited to cameras, infrared sensors, LIDAR, sonar, and so on. These sensors are used to sense the surrounding environment and detect abnormal situations;

Visual recognition: The camera and image processing technology are used to monitor and analyze the scene in real time. Computer vision technology can help robots recognize human beings, vehicles, objects and so on, and judge specific behaviors;

Motion control: Security robots need to be able to move in complex environments, so motion control systems are critical. This may include wheeled or legged chassis, motor drive systems, navigation algorithms, and so on.

Communication technology: Security robots usually need to communicate with monitoring center or other robots in real time. Wireless communication technologies such as Wi-Fi, 4G, and 5G are used for remote control, data transmission and information sharing.

Remote monitoring and management: Security robots usually need to be monitored and managed remotely. The monitoring center can obtain the status of the robot, video stream and other information at any time, and control them accordingly.

Autonomous decision-making and learning: Algorithms with autonomous decision-making capabilities enable robots to respond adaptively to new situations. Machine learning techniques can be used to improve recognition and decision-making capabilities.

Based on the above product features, Forlinx Embedded has launched FET3588J-C CPU Module as a main control solution for security robots.

Firstly, FET3588J-C CPU Module introduces the new generation 48-megapixel ISP 3.0, which enables lens shade correction, 2D/3D noise reduction, sharpening, defogging, fisheye correction, gamma correction, and wide dynamic contrast enhancement, significantly improving the image acquisition quality of security robots.

Secondly, it provides abundant interface resources to meet the access requirements of various sensors and communication needs with motion control modules for security robots. The platform is equipped with an NPU (Neural Processing Unit) with up to 6 TOPS (Tera Operations Per Second) of computing power, meeting the requirements for AI learning and edge computing.

The FET3588J-C CPU Module has undergone rigorous environmental temperature and pressure testing, providing ultimate performance support and stable operation guarantee for your high-end applications.