INTELLIGENT EYES ON THE BATTLEFIELD: DEVELOPING AN AI-VISION BASED MILITARY VEHICLE AND INFANTRY DETECTION SYSTEM
The importance of accurate, real-time intelligence in modern warfare is crucial, especially in reconnaissance and surveillance operations. Currently, drones are widely used for reconnaissance, but generally rely only on the operator's ability to monitor operation targets. This research is ai...
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| Main Author: | |
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| Format: | Final Project |
| Language: | Indonesia |
| Subjects: | |
| Online Access: | https://digilib.itb.ac.id/gdl/view/82299 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | The importance of accurate, real-time intelligence in modern warfare is crucial,
especially in reconnaissance and surveillance operations. Currently, drones are
widely used for reconnaissance, but generally rely only on the operator's ability to
monitor operation targets. This research is aimed at developing an AI vision
assistance system to enhance the ability to detect military vehicles and infantry. The
method used is computer vision trained to recognize and differentiate several
military objects. The YOLO model is used to detect and distinguish objects. To
improve detection capabilities, the YOLO v8 model was retrained with an
additional dataset sourced from battle recordings on the battlefield. The results
show a detection accuracy rate of 95% in detecting vehicles and infantry under
normal visual conditions. The model from this research can be used to enhance the
capabilities of reconnaissance drones and the effectiveness of monitoring
operations. |
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