As labor shortages intensify due to declining birth rates and workplace safety awareness continues to rise, industrial mobile equipment is rapidly moving toward smart and autonomous solutions. Given that construction environments are often unsuitable for ultrasonic or millimeter-wave radar systems, AI-based vision detection has become the de facto standard for safety systems in construction and material-handling machinery.

When operators are focused on their tasks, their effective field of vision is typically limited to about 90°, leaving a 270° blind zone unmonitored. This is the design rationale behind the ICAM270-AI Vision Detection Safety System.

Three key features of the product include:

1. Highly Integrated Design with Competitive Cost Advantage
   Unlike conventional industry systems that rely on high-computation IPCs for AI processing, the ICAM270 integrates all key components into a compact 5cm-diameter spherical camera module, including:

   • Image Processing Unit (Sensor/ISP)

   • AI Processing Unit (AI-SOC)

   • Control Unit (MCU)

   • IP69-rated Waterproof Housing
     The system is easy to install, space-efficient, and will be launched at less than half the price of comparable solutions.

2. Intuitive HUD-Based Alert System Instead of Screens
   While traditional systems rely on monitors for visual warnings, the ICAM270 incorporates Bird’s Eye View (BEV) technology to precisely calculate object positioning and risk direction. More importantly, it features a high-brightness LCD Head-Up Display (HUD) in place of a screen, offering:

   • Intuitive directional collision alerts

   • A solution to common issues like glare, insufficient brightness, limited visibility angles, and high costs in outdoor environments

3. Trusted by Global OEMs and Applied in Real-World Use Cases
   The core technology has been adopted by a leading Japanese construction machinery OEM for joint development, particularly in emergency braking control during movement and turning operations. The system's precision and responsiveness significantly reduce the risk of workplace accidents.