In recent years, data creation methods have evolved, incorporating machine learning, AI, deep learning, and virtual reality to streamline processes. However, these advancements have not uniformly benefited communities in developing countries. Nonetheless, OMDTZ tirelessly seeks solutions to ensure more high-quality data are gathered, with low cost and extensive local involvement. One standout initiative involves a customized tricycle, known as bajaj, which is cost-effective, enabling access to streets of varying conditions. Equipped with an affordable street view camera, it collects images used to automate generation of vector data attributes to enrich OpenStreetMap. This session aims to share the experience and process, inspiring other communities to consider similar adaptations.