Traditional automotive diagnostics often rely on manual inspection and outdated tools, lacking the needed technology for today’s complex vehicles. This concept introduces a handheld 3D scanner with augmented reality, bridging the gap for more comprehensive and user-friendly vehicle diagnostics. With AI analysis, real-time augmented reality visuals, and an ergonomic design, it has the potential to significantly enhance the efficiency of the automotive repair industry.
Vision Diognostics
The AI and ML system employs advanced algorithms trained on varied datasets, including original vehicle blueprints and damage levels. It excels in identifying and classifying scanned damages, providing severity percentages, due to ongoing self-learning. The generative AI element improves decision-making by offering insightful repair suggestions. To further enhance its ability to spot any problems and assess the state of the car in-depth, the ML algorithm also examines data from On-Board Diagnostics. By ensuring simple access to databases for relevant data, integration with an internet component speeds up the diagnosis process.
