Case Studies

In late May 2025, Dukendong Township in Gongshan County, Nujiang Prefecture, Yunnan, faced a severe natural disaster. Continuous heavy rainfall triggered flash floods and massive debris flows, severel

Pengzhou’s rugged terrain, dense forests, and extreme weather conditions have long challenged ground-based threat detection and emergency response. Inaccessible areas and slow reaction times often ham

Guangxi Power Grid Company, in collaboration with JOUAV, has transformed transmission line maintenance in challenging terrains by implementing innovative drone-in-a-box inspection systems.This solutio

Zhaoqing, located in the western part of Guangdong Province, China, is known for its diverse topography and complex geological conditions. The region's mountainous terrain, characterized by steep slop

JOUAV worked with the Yunnan Fire and Rescue Team to test CW-15 and CW-25E VTOL UAVs alongside multirotor drones in the rugged Nujiang region of Yunnan, China. Covering a test area of more than 100 km, the operation demonstrated the use of airborne communication relays, real-time data transmission and 3D disaster-area modeling to support emergency communications, damage assessment and rescue coordination in mountainous terrain.

Serang, located within the Indonesian province of Banten and in close proximity to Jakarta, faces unique urban management challenges due to its high population density exceeding 1,200 people per squar

After relying on traditional ground surveys for three decades, Baorixile Open Pit Mine embraced the CW-25E UAV LiDAR technology.This innovation not only facilitated a 6.5-fold increase in data collect

In a Guangxi city in China, the JOUAV operation team recently showcased their prowess in power line inspection.Using a CW-15 VTOL drone and the JoLiDAR-1000 medium-range LiDAR, they completed a 33.7km

In the rugged terrains of Indonesia's East Borneo, PT Bukit Makmur Mandiri Utama (PT BUMA) Jobsite IPR, a prominent coal mining service company, faced a daunting challenge - efficient and accurate map