Amid the wave of industrialization of embodied intelligence, AI-powered mobile robots for applications such as service inspection, industrial testing, park security, and special operations in utility tunnels must meet stringent technical requirements—including miniaturized integration of visual perception systems, edge-side AI computing power, multi-link parallel transmission, and precise gimbal linkage control. KaiMoRui has specifically introduced a complete solution comprising the CM8805EM Starlight AI integrated chipset paired with the CM2004HW encoding and driving board, seamlessly integrating the entire workflow—from front-end image acquisition and local AI intelligent analysis to multi-channel video encoding/distribution and precise gimbal motion control—thereby establishing a highly integrated, out-of-the-box ready standardized visual hardware platform for AI robots and systematically addressing numerous pain points encountered in the practical implementation of mobile robot vision systems.

I. CM8805EM Micro-Starlight AI Movement: An optical intelligent terminal for robotic environmental perception

As the "eyes" of AI robots, the CM8805EM features an ultra-lightweight embedded design, with a total weight of only 78 grams; its compact dimensions allow it to be seamlessly integrated into robot pan-tilt heads, robotic arm end-effectors, or small airborne payload pods—without requiring any structural modifications to the robot's housing—thereby effectively controlling both the overall load capacity and mold development costs. The camera module is equipped with Sony's second-generation 1/2.8-inch high-sensitivity image sensor, delivering 8-megapixel 4K ultra-HD resolution; its exceptional low-light imaging capability supports uninterrupted operation across all weather conditions: providing color visibility at 0.05 lux and black-and-white night vision at 0.005 lux, enabling the system to output low-noise, high-quality images in dim-light environments such as industrial park alleys, underground enclosed utility tunnels, and unlit machine rooms, thereby serving as a highly reliable source of raw image data for the robot's visual AI algorithms. The optical lens combines 5x optical zoom with 16x digital zoom, offering a focal length range of 3.3–16.5 mm, with a field of view that can be rapidly switched between a wide-angle mode (103.1°) and a telephoto mode (19.1°).

The hardware features dual MIPI and Ethernet output interfaces, supporting industry-standard protocols such as VISCA, PELCO, GB28181, and ONVIF, enabling seamless integration with robotic master control units, motorized turntables, and third-party cloud management platforms. The system operates with low power consumption—static power consumption of 4W and peak power consumption of 5W—at a operating temperature range of –30°C to 60°C, perfectly meeting the long-range field operation requirements of lithium-ion battery-powered robots.

II. CM2004HW Micro-Encoder Control Board: The central hub for robotic vision signal transmission and control

The CM2004HW Coding Control Board serves as the core backend scheduling unit for the complete vision system solution. Featuring a 50×50×5 mm ultra-thin PCB with standard mounting holes, it can be compactly installed within the confined equipment bay of a robot, effectively addressing common industry challenges such as cluttered wiring in traditional modular vision components, cumbersome debugging processes, and insufficient transmission channels. The most prominent advantages of this board include: an HDMI wired output combined with a wireless image transmission capability supporting 4K @ 30fps, providing dual independent outputs; where the two transmission links do not interfere with each other's bandwidth allocation—specifically, the HDMI interface connects directly to the robot's local touch-screen terminal, enabling on-site maintenance personnel to view high-definition operational footage in real time; while the wireless image transmission module, paired with a receiver, enables low-latency, long-distance image transmission back to the command center, simultaneously meeting both the requirements for real-time AI inference and computation on the robot's local side and for remote centralized control from a backend system—thereby perfectly aligning with the AI application logic required for remote collaborative operations of mobile robots.

The board directly drives the CM8805EM camera module via an LVDS cable, while maintaining full backward compatibility with Sony's entire FCB series of 4K integrated camera modules. Upon power-on, it automatically performs a handshake to identify the camera parameters and outputs compatible video streams without requiring any configuration, thereby significantly shortening the overall integration and debugging cycle for the robot system. The hardware interface features a comprehensive set of configurations, including dual RS485, RS232-TTL, IO alarm ports, and physical debugging buttons operating in parallel; it natively supports the VISCA and PELCO-P/D pan/tilt control protocols, offers adjustable baud rates across multiple settings, and supports parameter memory retention upon power loss as well as direct command transmission, ensuring zero latency when issuing pan/tilt rotation and zoom tracking commands to the robot.

III. Dual hardware-native synergy enables closed-loop implementation of end-to-end AI vision capabilities on the robot platform

The CM8805EM data acquisition module and the CM2004HW encoding board are factory-certified compatible assemblies; their deep integration of software and hardware enables the formation of a complete closed-loop vision system, effectively overcoming the limitations inherent in standalone hardware solutions. Both components feature a compact, lightweight industrial design; when combined, they occupy minimal overall space, making them ideal for applications involving small inspection robots, specialized pipeline detection robots, and humanoid service robots—systems that often face stringent installation space constraints. The starlight night vision imaging system integrates multi-level image restoration algorithms to ensure stable and reliable AI recognition accuracy across all weather conditions and in highly complex environments. With dual video output channels and a multi-protocol control architecture, the system supports three core functionalities: local edge AI analysis, remote cloud-based supervision, and automatic pan-tilt tracking. Additionally, the plug-and-play compatibility features significantly reduce the workload associated with software-hardware integration, thereby effectively shortening the R&D cycle for robot projects and lowering overall production costs.

In robotic solutions for plant automated inspection, 24/7 security patrol of industrial parks, detection of hidden hazards in underground pipelines, and preventive maintenance testing of large-scale equipment, this complete modular system provides a one-stop solution for all AI functionalities—including environmental map modeling, AI-based identification of personnel violations, automatic alerts for safety hazards, remote wireless transmission of high-definition video feeds, and autonomous tracking and locking of camera pan-tilt units—without requiring additional installation of signal converters or protocol conversion modules, thereby enhancing the overall integration level and long-term operational reliability of the robotic system.

IV. Deep scenario-specific adaptation of robotics projects to accelerate the commercialization of embodied intelligence

Currently, demand across various specialized segments of AI robotics is highly differentiated; KaimoRui's dual-module vision solution offers exceptional scenario scalability, covering the vast majority of real-world robot AI deployment scenarios. Industrial equipment inspection robots utilize optical long-distance zoom capabilities, fog-clearing and heat-wave removal technologies, and AI-based defect recognition to perform fault diagnosis on workshop equipment and monitor the behavior of field operators; industrial park security patrol robots leverage built-in perimeter detection algorithms integrated with a wireless remote image transmission board to achieve all-weather autonomous patrolling and real-time capture and upload of abnormal events; underground utility corridor special-purpose robots employ ultra-low-light night-vision capabilities and wide-temperature stability to conduct continuous intelligent detection in dark, high-humidity, or low-temperature enclosed spaces; small airborne operation robots leverage their advantages in low power consumption, compact size, and dual-channel synchronous output to support both onboard local observation and remote backend dispatching; and the AI vision algorithm R&D and testing platform, equipped with a rich set of protocol interfaces and multi-codestream adjustable output options, provides a stable hardware foundation for the iterative development of robot vision models and the validation of algorithm performance. Building upon KaimoRui's extensive experience in industrial-grade vision imaging hardware R&D, this integrated vision solution balances industrial durability, high integration density, and open extensibility, using standardized, mature hardware to lower the entry barrier for robot R&D enterprises when developing vision systems, thereby facilitating the rapid implementation and mass production of various AI robot projects and continuously empowering the iterative advancement of embodied intelligence autonomous perception technologies.