DJI Ecosystem AI Algorithm Certified Manufacturer (Customizable)

DJI certification address: https://developer.dji.com/cn/ai-developer/ Unmanned aerial vehicle out of store operation detection algorithm Improving urban management efficiency. Drones can conduct carpet style inspections of large commercial and residential areas in a short period of time, greatly saving time and cost compared to manually inspecting each street and store. This enables urban management departments to complete the inspection tasks of previous days in one day. The real-time performance of AI algorithms ensures that once any out of store business behavior is discovered, law enforcement personnel can be notified immediately, allowing the problem to be dealt with at an early stage, avoiding the continuous deterioration of violations, and reducing the difficulty of subsequent rectification. The accuracy of urban law enforcement has been improved. With the help of deep learning algorithms trained on massive amounts of data, the recognition accuracy of out of store operations is high, and the normal business scope and illegal out of store parts can be clearly defined, reducing misjudgments and avoiding unnecessary troubles for legitimate business owners. Assisting in the construction of urban image. By promptly curbing the chaos of out of store operations, pedestrian pathways have been ensured to be unobstructed, and the cleanliness and aesthetics of the streets have been improved, resulting in a well-organized appearance of the city's commercial areas. At the same time, it plays an effective supervisory role in encouraging businesses to consciously abide by urban management regulations, operate in a civilized manner, create a fair and competitive business environment, and promote the healthy and sustainable development of urban commerce. Unmanned aerial vehicle engineering vehicle detection algorithm Improve the operational efficiency of the energy industry. Drones can quickly cover long-distance and complex terrain oil and gas pipeline inspection work, greatly saving time and labor costs compared to traditional manual inspections, ensuring the safe operation of pipelines. Enhance construction safety monitoring. By accurately identifying engineering vehicles and construction activities around the pipeline, potential safety hazards can be identified in a timely manner, preventing pipeline damage caused by third-party construction, protecting the ecological environment, and reducing economic losses. Promote the process of intelligent management. The application of this algorithm provides advanced technological means for the energy industry, helping to achieve intelligent and automated operation and maintenance management modes, and improving the overall safety and efficiency standards of the industry. Unmanned aerial vehicle occupation operation detection algorithm Improving urban management efficiency. This algorithm is able to patrol and detect large areas in a short period of time, promptly detecting illegal occupation of roads by mobile stalls, greatly improving regulatory efficiency, and reducing the workload and time cost of manual inspections. Improved precision in urban management. By conducting multiple and continuous monitoring of specific areas, it is possible to track the dynamic changes of mobile stalls, such as their movement, addition, or reduction, providing more comprehensive and accurate information for urban management. Optimization of urban environmental order. By promptly detecting and handling violations of mobile stalls, we can encourage mobile vendors to operate in a standardized manner, reduce disorderly operations, enhance the overall image and cleanliness of the city, effectively solve traffic congestion caused by mobile stalls occupying roads, ensure smooth and unobstructed urban roads, and improve the efficiency of urban traffic operation. Drone Blue Roof Illegal Building Detection Algorithm The efficiency of urban law enforcement has been improved. The traditional manual inspection method takes weeks or even months to complete a round of urban building inspections. Now, with the help of drone AI recognition products, it can be completed within a few days. Being able to promptly detect and deal with illegal buildings, maintain the seriousness of urban planning, and enhance the overall image of the city. Effective supervision of land resources. From the perspective of land resource supervision, effectively curb illegal land occupation behavior. Whether it is the protection of farmland in rural areas or the standardized management of urban construction land, the aerial monitoring advantages of drones are fully demonstrated. It can accurately locate the location of illegal land occupation construction, provide strong evidence for land law enforcement, and ensure the rational use of valuable land resources. Provide social security guarantees. Timely discover and dismantle illegal buildings with safety hazards, such as those built in dangerous areas such as riverbanks and slopes, to reduce the risk of natural disasters and public safety accidents caused by illegal buildings, and effectively protect the safety of people's lives and property.