Besides habitat destruction, wildlife trade is a major reason for the decline of species on Earth. PaddlePaddle has partnered with IFAW to deploy the world's first application using deep learning technology to combat illegal online wildlife trade. This helps IFAW to screen clues faster and more efficiently.

As user information for financial products becomes increasingly complex, the demand for risk control grows. Du Xiaoman Financial has applied Baidu's self-developed continuous learning semantic understanding framework ERNIE to its user risk control scenarios, significantly improving risk control model metrics, effectively reducing loan risks, and greatly reducing the manpower required for audits.

To address the high work intensity and low efficiency of manual forest inspections, GDU has partnered with PaddlePaddle to develop a customized autonomous drone flying platform and the GDU Flight MS application management platform. This allows for large-scale autonomous forest patrols, fire monitoring, and forest resource analysis.

Fitow Testing Technology Company uses PaddlePaddle to perform pixel segmentation of multi-angle scratch defects on Volkswagen gearbox aluminum castings. This significantly reduces the false positive rate compared to manual inspection, and a single device can replace the workload of 6 people working 12 hours a day.

Suzhou Botian utilizes Baidu PaddlePaddle's PaddleSeg to enable tractors and agricultural robots to learn visual navigation. These robots can adjust their course in real-time based on the planting conditions of rice seedlings, avoiding trampling seedlings and better maintaining and managing rice crops.