17550808. STRUCTURAL INSPECTION USING FEEDBACK FROM ARTIFICIAL INTELLIGENCE SERVICES simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)
Contents
STRUCTURAL INSPECTION USING FEEDBACK FROM ARTIFICIAL INTELLIGENCE SERVICES
Organization Name
INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor(s)
Benjamin Mandler of Zichron Yaakov (IL)
Samuel Kallner of Menashe (IL)
Maya Barnea of Kiriat Bialik (IL)
STRUCTURAL INSPECTION USING FEEDBACK FROM ARTIFICIAL INTELLIGENCE SERVICES - A simplified explanation of the abstract
This abstract first appeared for US patent application 17550808 titled 'STRUCTURAL INSPECTION USING FEEDBACK FROM ARTIFICIAL INTELLIGENCE SERVICES
Simplified Explanation
The patent application describes a system that uses artificial intelligence and unmanned aerial vehicles (UAVs) for asset inspection. Here are the key points:
- The system receives information about the target asset from an asset management system.
- Based on this information, the system generates an inspection mission.
- The system then generates specific commands for the UAV to carry out the inspection mission.
- These commands are transmitted to the UAV platform.
- The UAV captures images and sensor data during the inspection.
- The system sends these images and data to an AI services module for analysis.
- The AI services module provides feedback to the system.
- Based on this feedback, the system can modify the inspection mission.
Potential applications of this technology:
- Asset inspection in various industries such as energy, infrastructure, and agriculture.
- Monitoring and maintenance of remote or hard-to-reach assets.
- Surveillance and security purposes.
Problems solved by this technology:
- Manual inspection of assets can be time-consuming, costly, and sometimes dangerous.
- Traditional inspection methods may not provide comprehensive or real-time data.
- The use of UAVs and AI can improve the efficiency and accuracy of asset inspection.
Benefits of this technology:
- Faster and more efficient asset inspection.
- Real-time data collection and analysis.
- Reduced costs and risks associated with manual inspections.
- Improved decision-making based on AI feedback.
- Enhanced asset management and maintenance.
Original Abstract Submitted
An example system includes a processor to receive target asset information from an asset management system. The processor can generate an inspection mission based on the target asset information. The processor can generate unmanned aerial vehicle (UAV)-specific commands based on the inspection mission. The processor can transmit the UAV-specific commands to an unmanned aerial vehicle (UAV) platform. The processor can receive images and sensor data from the UAV. The processor can also send the images and sensor data to an artificial intelligence (AI) services module. The processor can receive feedback from the AI services module. The processor can further modify the inspection mission based on the feedback.
