Visual perception is the core hardware foundation for intelligent robots to achieve autonomous navigation, environmental assessment, and risk early warning. Currently, many system integrators rely on piecemeal camera modules and adapter boards to assemble visual systems, which commonly suffer from issues such as insufficient image quality, poor day-and-night adaptability, delayed command synchronization, single transmission channels, and high integration and debugging costs. These shortcomings make it impossible to meet the demands of long-term autonomous operations in harsh environments such as industrial inspections, border security surveillance, and pipeline corridor exploration. To address these challenges, Kemorei has launched a complete modular solution featuring the CM8810E starlight-level 4K zoom lens module paired with the CM2004HW encoding driver board. This solution establishes a comprehensive hardware chain that includes “image acquisition—intelligent algorithm analysis—dual-channel video output—pan-tilt motion coordination.” Leveraging cutting-edge features such as ultra-starlight night vision imaging, built-in edge-side AI algorithms, HDMI + wireless synchronous video transmission, and multi-protocol compatible control, this solution provides a plug-and-play, standardized visual solution for various AI-specialized robots. It significantly reduces the development complexity of robotic vision systems and enhances the reliability of autonomous operations in challenging environments.

I. CM8810E Starlight Zoom Module: High-magnification, ultra-high-definition imaging—creating an all-weather environmental detection probe for robots.

As the front-end acquisition core of the entire visual system, the CM8810E mini-integrated module integrates high-performance image sensors and an optical zoom lens within an extremely compact footprint. It fits seamlessly into the limited installation space of robotic bodies, enabling flexible observation at both near and far distances and delivering clear, uninterrupted imaging day and night, under all weather conditions. The module is equipped with a Sony 1/2.8-inch Starvis CMOS image sensor that outputs 8-megapixel 4K ultra-high-definition video. It features a combination of 10x optical zoom and 16x digital electronic zoom, with an autofocus speed as fast as 3 seconds for rapid target locking. In wide-angle mode, it can perform comprehensive environmental scans over large areas; in telephoto mode, it can magnify and capture detailed images of equipment and human features from up to 100 meters away. Its ultra-low-light sensitivity reaches 0.01 Lux in color mode and 0.001 Lux in black-and-white mode. Coupled with automatic ICR infrared filter switching, digital wide dynamic range, electronic defogging, strong-light suppression, and backlight compensation technologies, this module effectively suppresses overexposure and image noise even under challenging shooting conditions such as backlighting, intense sunlight, smog, sandstorms, underground dark tunnels, and nighttime factory environments. By minimizing these issues at the source, it significantly reduces false triggers and missed detections in downstream AI algorithms.

The device’s internal mechanism comes pre-installed with a complete edge-based intelligent analysis algorithm, enabling it to independently perform multi-category object detection—including people, vehicles, and vessels—without the need for an external computing box. It also supports rule-based alerts for scenarios such as crossing boundary tripwires, unauthorized entry into restricted areas, prolonged human presence, and detection of abandoned objects. Upon detection trigger, the device can directly output discrete alarm signals. The video is encoded using H.265 high-efficiency compression combined with triple-stream simultaneous output, effectively reducing network bandwidth usage. The entire device weighs only 152 grams, and its low-power operating design, paired with industrial-grade hardware materials that support a wide temperature range from -30°C to +60°C, ensures exceptional environmental resilience. It supports up to 1TB TF card for local storage, allowing for offline video recording. Whether deployed on wheeled inspection robots, rail-guided tunnel robots, or track-mounted security robots, this device can operate continuously for extended periods, guaranteeing stable performance in unattended operations.

II. CM2004HW Encoding Control Board: A signal relay and command hub that seamlessly integrates visual perception with body movements.

The CM2004HW encoding control board serves as a key intermediary between the movement mechanism, the robot’s main control unit, and the remote management platform. It specifically addresses industry pain points such as poor compatibility of split-component accessories, cumbersome debugging procedures, and limited video output options by integrating three core functions—video decoding and output, pan-and-tilt protocol control, and command pass-through—onto a single compact circuit board. The product dimensions are 50 mm.×50×5The ultra-thin PCB design features pre-installed standard 45mm mounting holes, allowing it to be directly fastened onto the robot’s internal sheet-metal structure. Via an LVDS high-speed interface, it automatically adapts to both the CM8810E module and Sony 4K zoom modules of the same specification. Upon power-up, it automatically recognizes the connected module without requiring complex code debugging, significantly shortening the hardware integration and software debugging cycles for robotic projects. The board’s greatest highlight is its dual-channel synchronous output capability.One HDMI 4K high-definition interface is directly connected to the robot’s local edge computing unit for real-time image analysis, while the other path uses a wireless WiFi module to enable remote transmission of 4K video. The two video streams operate independently without competing for bandwidth, allowing local analysis and cloud-based remote monitoring to proceed simultaneously.

The hardware interface boasts a rich and practical layout, equipped with dual RS485 ports, RS232-TTL, IO alarm ports, and physical debugging buttons. It is fully compatible with mainstream pan-tilt control protocols such as VISCA and PELCO-P/D, and supports multiple adjustable baud rates. The device features power-loss parameter memory and transparent transmission of control commands. Zoom, pitch, and pan commands issued by the robot’s main controller can be transmitted to the camera mechanism within milliseconds, ensuring highly synchronized visual tracking actions with the robot’s movement. The highly integrated onboard circuitry significantly simplifies internal wiring, reducing clutter inside the device. Additionally, the device supports remote online firmware upgrades; after batch delivery, functional iterations can be completed without disassembling the unit, thereby saving substantial labor and time costs for large-scale robot maintenance and operation in the future.

III. A comprehensive solution for deep integration of software and hardware, building a closed-loop, autonomous visual operation system for robots.

The CM8810E module and the CM2004HW control board have undergone proprietary, optimized hardware and software pairing at the lowest level by the manufacturer. Together, they form a fully integrated, standardized module. Compared to randomly assembled, standalone components available on the market, this combination completely eliminates compatibility issues such as video stream stuttering, loss of control commands, and interruptions in AI alarm signal transmission, perfectly aligning with the operational logic of intelligent robots that autonomously analyze and respond to situations. In actual operation, the CM8810E continuously captures live footage from the site and performs target detection. Once an alarm rule is triggered, it immediately sends an alert signal to the CM2004HW. Meanwhile, the control board splits the video feed into two separate streams—one for local computing power and the other for the cloud-based backend—and simultaneously issues instructions for zooming in and continuous tracking. The entire hardware setup completes the closed-loop process—from “target detection—zoomed-in evidence collection—local analysis—cloud-based reporting—automatic tracking”—within milliseconds.

All image parameters of the camera module can be configured in bulk via the control panel. Functions such as day-and-night exposure settings, ROI-based image quality enhancement, and electronic image stabilization can be enabled with a single click, ensuring simultaneous optimization of imaging and encoding compression. Local storage cards provide offline data storage, while wireless network uploads to the cloud address the challenge of data loss caused by network outages in underground spaces lacking signal coverage. At the protocol level, the module is compatible with ONVIF and the national GB28181 security standards, enabling video and alarm data collected by the robot to be directly integrated into industrial IoT platforms, campus security management systems, and power monitoring backends—thus breaking down data silos between different devices and systems.

IV. Enable deployment across multiple industry scenarios and accelerate the large-scale commercialization of AI robots.

This Kaimorui complete visual module boasts exceptional versatility and can serve as a standardized visual hardware module, empowering the iterative development of intelligent robotic products across multiple industries and providing a reliable visual perception foundation for unmanned operations. In industrial plant environments, inspection robots equipped with the CM8810E’s ultra-low-light night-vision capability can conduct inspections even in dark nighttime conditions. With its high-magnification zoom, the robot can precisely read pressure gauges, identify damaged wiring, and capture images of personnel engaged in unauthorized activities. The CM2004HW’s dual-channel output interface connects seamlessly to both local industrial control systems and cloud-based operation and maintenance platforms, enabling fully automated 24-hour hazard detection. In campus security scenarios, patrol robots rely on wide-angle lenses to achieve comprehensive perimeter coverage, while telephoto lenses precisely lock onto suspicious individuals. Once an AI-triggered alarm is activated, the system automatically pushes 4K evidence videos and initiates target-tracking mode, effectively replacing traditional manual, fixed-point nighttime patrols.

For demanding applications such as underground power tunnels, enclosed storage spaces, and outdoor border patrol inspections, the module’s features—wide temperature tolerance, resistance to extreme temperature fluctuations, stable performance in humid environments, and local storage capability even when network connectivity is lost—fully demonstrate their value. Its lightweight, low-load design ensures that the robot’s battery is not excessively drained. Additionally, the module supports OEM/ODM customization services, including OSD character customization and on-demand adjustment of interface pins. These capabilities enable robot manufacturers to bypass the visual hardware R&D phase altogether and directly use mature modules for product assembly, significantly shortening the new-product development cycle and accelerating the industrial-scale mass production and delivery of intelligent industrial robots, security patrol robots, and specialized detection robots.