A Chinese developer has shared a detailed project where they created a custom visual large model named 'Hongmu' and integrated it with Huawei's Ascend AI processor to build a road-aware application on HarmonyOS. The project, called RoadVision, processes traffic photos to provide real-time road condition analysis. This is a notable example of combining self-trained vision models with domestic edge hardware, showcasing the potential for AI applications in smart transportation. The technical stack includes model training, optimization for Ascend NPU, and HarmonyOS app development. For overseas developers, this highlights the growing ecosystem around Huawei's hardware and HarmonyOS, and the feasibility of deploying custom AI models on edge devices. The project is open-source and provides a practical reference for similar edge AI deployments.
The author built a custom vision model called 'Hongmu' and deployed it on Huawei Ascend hardware to create a road-aware smart application on HarmonyOS. This demonstrates practical edge AI deployment with a novel combination of self-trained models and domestic hardware, offering insights for developers working on similar projects.