Post by account_disabled on Jan 1, 2024 1:51:20 GMT -4
Phramongkutklao College of Medicine, Prof. Dr. Mathirut Mungthin, Academic Phramongkutklao College of Medicine Col. Col. Asst. Prof. Panadda Hattachot, Education Division, Phramongkutklao College of Medicine, receiving a research grant from the Science Development Grant. Empower researchers in the field of military equipment to Increase the potential of the army Meet and protect the country by the Office of the Higher Education Commission and the Office of Research and Development Army military development including the A team of Thai researchers has developed an AI system that measures the color of the sheep.
Automatic environment and weather conditions Phone Number List to process risks and monitor Be careful of illness from heat stroke. In training new soldiers who have to train outdoors for a long time May cause risk Risk of injury from heat We have applied Artificial Intelligence (AI) and Internet of Things (IoT) technologies to medical work to help with data recording . Automatically monitor urine color and weather conditions to reduce errors in data collection, and be able to monitor at-risk groups. Leads to prevention of epilepsy individualized information quickly and efficiently In the past, prevention Heat stroke in new soldier training.
The Royal Thai Army will use a health education system using the flag signal colors that come from the Royal Thai Army. Considering the relative humidity at the training location, recording data into the system by the trainees, and collecting urine color data in two periods, morning and evening. The number of soldiers training in each shift is 100-200 people. The work pattern is repeated, using people and taking time. a lot Besides being delayed There may still be discrepancies. 2. Our research team therefore came up with the idea to develop a tool for measuring urine color and automatic weather detection,
Automatic environment and weather conditions Phone Number List to process risks and monitor Be careful of illness from heat stroke. In training new soldiers who have to train outdoors for a long time May cause risk Risk of injury from heat We have applied Artificial Intelligence (AI) and Internet of Things (IoT) technologies to medical work to help with data recording . Automatically monitor urine color and weather conditions to reduce errors in data collection, and be able to monitor at-risk groups. Leads to prevention of epilepsy individualized information quickly and efficiently In the past, prevention Heat stroke in new soldier training.
The Royal Thai Army will use a health education system using the flag signal colors that come from the Royal Thai Army. Considering the relative humidity at the training location, recording data into the system by the trainees, and collecting urine color data in two periods, morning and evening. The number of soldiers training in each shift is 100-200 people. The work pattern is repeated, using people and taking time. a lot Besides being delayed There may still be discrepancies. 2. Our research team therefore came up with the idea to develop a tool for measuring urine color and automatic weather detection,