To minimize unnecessary waiting at red lights during nighttime and improve driving efficiency, Taipei City’s Department of Transportation implemented an AI smart traffic signal control system on Wenlin North Road in 2019. This system integrates intersection surveillance cameras, Advantech’s MIC-720 industrial-grade edge AI computing platform, and CTK’s AI algorithms. It dynamically adjusts traffic signal timings based on real-time vehicular and pedestrian flow, effectively resolving existing traffic challenges.

In collaboration with Zhihui, Advantech, and CTK, the AI fleet management system not only provides real-time alerts to drivers to adhere to traffic regulations but also records footage that serves as evidence to clarify responsibilities in case of incidents. This system enables managers to develop safety reward mechanisms and phase out drivers exhibiting dangerous driving behaviors, promoting overall fleet safety.

With an average of 2.5 million chickens per poultry house in the United States, large-scale farms require high-quality, high-volume egg production. Previously reliant on human visual inspection, egg farmers are now adopting automated equipment paired with AI optical inspection to swiftly and efficiently detect cracked eggs and shell pores. This technology grades eggs based on quality, accelerates production speed, and compensates for labor shortages due to rural depopulation.

Taiwan’s hot and humid climate fosters environmental microorganisms that can harm cattle, making body temperature a key health indicator. Modern farms use infrared thermal imaging to capture moving cattle, with AI analyzing the area around the cows’ eyes to determine if they have a fever. This approach reduces the time and risk associated with manual measurements, allowing for rapid assessment of dairy cow health.

Rural depopulation and aging populations are challenges faced by developed countries. Stabilizing agricultural output and reducing import dependence are critical national issues. Utilizing AI-powered autonomous robots, 3D cameras recognize tomato rows while arm-mounted cameras collect fruit images. AI evaluates tomato color, size, and defects like pest damage to prioritize high-quality tomatoes for harvesting. The robots collect the tomatoes into baskets and transport them to collection points, significantly reducing labor for harvesting and inspection and increasing efficiency.

Maintaining broodstock shrimp in a comfortable environment is essential for stable production and high hatch rates. Effective management involves careful attention to feeding and tank conditions. Using AI algorithms and cameras to monitor growth, combined with data on water oxygen levels and salinity, allows for precise feed distribution. This ensures shrimp larvae receive the optimal amount of feed while preventing tank contamination.