A new AI-powered dual-spectrum inspection robot offers continuous infrared thermal monitoring for industrial and agricultural environments. Developed by Chhinese Raytron Technology, the system combines visible light and thermal imaging with edge AI analytics to detect early signs of equipment failure or livestock illness, aiming to improve safety and operational efficiency in sectors such as smelting and smart farming.
In livestock facilities, the robot identifies small heat anomalies in animals, enabling early detection of disease. The system also analyzes eggs to distinguish between clean and contaminated ones. It operates autonomously using LiDAR, radar, and depth cameras for navigation and obstacle avoidance, allowing for unmanned 24/7 inspections.
In industrial settings, particularly in high-temperature environments such as aluminum smelting, the robot provides continuous thermal scanning across key areas. According to the company, this approach reduces reliance on handheld devices, which are labor-intensive and prone to equipment fragility. The robot is equipped with high-capacity battery packs that can be swapped for extended operation without significant downtime.
Thermal data is streamed via factory Wi-Fi to a monitoring platform, where custom-set thresholds can trigger immediate audio and visual alerts. The system is designed to detect anomalies in real time and allow for a faster response to potential hazards.
