This paper presents a novel 3-wheeled synchro-autonomous drive system. This autonomous vehicle exhibits self-navigation capabilities, relying on a tripartite framework. It comprises good mobility, obstacle avoidance and computer vision. The drive can detect and avoid obstacles as well as can scan the objects through machine vision models. The upper mechanism is equipped with machine vision technology that identifies objects in its path and classifies them based on a predefined (Enemy/Friendly) category set. The model exhibits above 85% accuracy and works well in real time situations. Upon detecting an object within the Enemy set, the system activates an arrow shooting mechanism. In contrast, if the identified object does not fall into the Enemy category, the drive autonomously manoeuvres forward adeptly avoiding obstacles. The lower mechanism is facilitated by Ultrasonic sensors and IR proximity sensors for object detection and obstacle avoidance. Notably, the drive will continue to navigate forward until a new obstacle is identified. This paper outlines the intricate interplay of these components, showcasing a robust autonomous system capable of enemy detection and intelligent obstacle avoidance.
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