Image processing device, image processing method and image processing system

An image processing method comprising:

• a step of acquiring a first M-channel image;
• a step of generating a first N-channel image using the first M-channel image;
• a step of fusing the first M-channel image and the first N-channel image to generate a first K-channel image;
• a step of training an object detection neural network using the first K-channel image;
• a step of acquiring a second M-channel image and a second N-channel image that include an identical subject;
• a step of fusing the second M-channel image and the second N-channel image to generate a second K-channel image;
• and
• a step of generating, using the object detection neural network trained using the first K-channel image, object detection result information with respect to the second K-channel image, and outputting the object detection result information.

An image processing system comprising:

• a client terminal;
• a sensor;
• and
• an image processing device connected via a communication network;
• wherein the image processing device includes:
• a storage unit configured to store an object detection neural network trained using a first K-channel image generated from a first M-channel image and a first N-channel image generated from the first M-channel image;
• a reception unit configured to receive, from the sensor, a second M-channel image and a second N-channel image that include an identical subject;
• and
• an image analysis unit configured to generate, using the object detection neural network trained using the first K-channel image, object detection result information with respect to a second K-channel image generated from the second M-channel image and the second N-channel image, and output the object detection result information to the client terminal.