Drone Vision Solution-Industry Solutions & Case Studies-Vietadata Holding (Shenzhen) Group Co. Ltd

Core Products

Standard Algorithm 50+ Integrated Machine Algorithm Server High Performance Comprehensive Algorithm Server Robot Vision Module AI Vision+Digital Intelligence Integration Solution

Industry Solutions & Case Studies

Logistics and Warehousing Park Warehouse and Yard Energy Mines Energy Nuclear Power The Belt and Road Overseas Free Trade Zone Robot Vision Solution Drone Vision Solution Bright Kitchen and Stove

Customized Algorithm Products

Drone Vision Solution

Overview of Experimental Projects

Technical Validation

Successfully completed the verification of the unmanned aerial vehicle image offline analysis system

Efficiency Comparison

Establish a complete evaluation framework for three AI vision deployment modes

Scene Adaptation

Optimizing image recognition algorithms for complex environments such as sea/forest

Technical Implementation Path

Verified Plan (Offline Mode):

Validation Algorithm:
Forest flame detection, ship identification, distress signal

Key Parameters:

Processing Delay: approximately 15 minutes per shipment (including data transmission time)
Recognition accuracy (test data):
· Ship recognition: 89.2% (test set)
· Identification of distress signals: 76.5%
· Forest fire point recognition: 92.1%

Comparison of Research Plans

Deployment Mode	Advantage	Challenge	Current Progress
Off-Line	● System stability/sufficient computing resources	High response delay	Deploying test base station
Real-Time Transmission	● Quasi real time warning	Dependent on network quality	Laboratory simulation successful
Airborne Computing	●Immediate response	The battery life has decreased by about 40%	In the process of supply chain adaptation

Periodic Technological Achievements

Breakthrough in Image Processing

Develop Anti-Interference Algorithms

Wave reflection light filtering (for offshore scenes)
Leaf sway suppression (forest scene)

Establish a Dedicated Dataset

Contains 12000+annotated images
Covering different lighting/weather conditions

Subsequent Research and Development Directions

Real Time Mode Optimization

Develop streaming processing algorithms (reducing bandwidth requirements by 30%),
Test low orbit satellite communication link

Airborne Solution Research and Development

Joint development with drone manufacturers:
Specialized lightweight computing module (target ＜ 150g),
Power optimization firmware

Collaboration Invitation

Obtain the 'Feasible Plan for UAV Vision'

Consulting

Apply for offline analysis system demonstration

Trial Experience

Join the Real time Transmission Technology Validation Program

Click to Join