The transformation of existing vehicles into unmanned systems requires overcoming several challenges. Integrating advanced AI-based control systems into traditional vehicles without compromising performance is complex. Developing locally sourced AI systems capable of managing unmanned operations efficiently is essential. Additionally, retrofitting vehicles with unmanned kits that are compatible with various models presents technical challenges. Ensuring the safety, reliability, and seamless operation of the retrofitted systems requires rigorous testing and adherence to regulations. These challenges must be addressed to create a cost-effective solution for autonomous vehicle adoption without the need for new vehicles.

The transformation could revolutionise sectors like transportation and logistics, improving efficiency and safety. It will promote local AI development, enabling cost-effective solutions for autonomous vehicles and driving economic growth.