AI-Assisted Drones Aid to Optimize Response to Large-Scale Disasters and Rescue Missions

Disasters such as wildfires and urban fires pose significant challenges to safety and resource management. The vast areas affected by disasters such as wildfires require extensive coverage that human teams find difficult to manage quickly and efficiently. Traditional firefighting and rescue methods often fall short due to the unpredictability and scale of such disasters, compounded by inadequate real-time data collection and analysis.

AI-Driven Vehicle Identification: Optimizing Container Truck Flow at Ports

International ports are enhancing logistics efficiency with AI-powered vehicle identification systems. However, challenges like fluctuating lighting, varying angles, and vehicle speed often lead to license plate and container number recognition errors, increasing labor and time costs in port logistics management.

AIoT-Enabled Smart Traffic Large-scale Deployments

The integration of AI and IoT (AIoT) into smart traffic systems has significantly improved traffic management efficiency. However, large-scale deployments at intersections and roadside locations face challenges such as limited wired and wireless coverage, restricted data transmission distance, power constraints and high operational and maintenance costs.

AI-Powered Mango Leaf Health Monitoring

Manually identifying diseases in crops is costly and subjective, highlighting the need for automated systems that ensure accurate detection in the field. To address this, integrating AIoT and AI Vision inspection offers an innovative solution for on-site leaf analysis.

AI-Assisted Construction Vehicles Enhance Safety of Construction Sites

Construction Vehicles are the workhorses of the construction industry, performing vital tasks across numerous projects. However, these powerful machines pose significant safety risks on construction sites, which are often high-risk environments. Contractors are constantly looking for solutions to safeguard workers from the potential hazards posed by construction vehicles.

AI Voice-Controlled Robotic Arms Streamline Multi-variety & Small-batch Production Costs

With the era of intelligent manufacturing and consumer-oriented personalized demands, flexible production mode on multi-variety and small batch has gradually taken the place of mass production on specific single product specification, which better meets the personalized demand from market.

Transforming Toll Gate Management with Edge AI

Norway’s legacy tolling and parking systems were plagued by inefficiencies and revenue losses caused by outdated fee collection methods. These systems, relying on trust-based models or physical barriers, failed to ensure all users paid their dues. This limited the ability to fund essential maintenance for roads and parking areas.

Revolutionizing Next-Gen AI Service Robots: NVIDIA Jetson-powered Innovation

Daxbot is transforming urban delivery services with a fleet of service robots that navigate sidewalks, deliver food, patrol for security, collect ADA compliance data, and engage with pedestrians, redefining urban convenience and connectivity.