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Artificial intelligence monitoring system for dead trees caused by pine wilt disease based on UAV
Use drones to shoot high-definition videos or orthophotos of forest patrols, and use the AI pine wood nematode epidemic wood rapid perception and identification supercomputing cloud service platform to conduct large-scale automatic detection, AI recognition and annotation of drone cruise videos or orthophotos. , and use UAV flight log data to automatically match forest class data to achieve high-precision positioning of the spatial location of diseased trees, and realize automatic monitoring, positioning and early warning of dead trees with pine wood nematode disease in UAV cruise video. It has the advantages of high recognition rate, large detection range, accurate recognition direction, and flexible organization and implementation.
1.SaaS platform services
Based on the rapid perceptionand recognition technology of drone videos or orthophotos,a drone cruise video pine
wood nematode epidemic wood AI detection SaaS cloud supercomputing platform has been developed, which can
support the cloud upload and AI of drone cruise videos or orthophotos. Identification services.
2.AI identification and labeling of disease wood
An AI algorithm model for rapid perception and identification of pine woodnematode infected wood based on high-definition
drone cruise video or orthophotos. It can replace manual work on fully automatic AI identification and infected wood pictures of
drone cruise videos or orthophotos. and location labeling, with fast recognition speed and high accuracy.
3.Positioning and early warning of diseased trees
UAV cruise positioning data is automatically matched with
forest spot data to achieve high-precision positioning of the spatial location of diseased trees, supporting automatic detection, positioning and early warning of cluster epidemics.
4.Generate statistical reports on dead tree removal tasks
The platform displays the monitoring results of dead trees caused by pine wood nematode disease in the form of statistical charts based on region, small class and other information, and supports the export of Excel tables.
| Hardware technical parameters of edge Al high-performance processor | |
| CPU | 2 * Intel 10 core with a main frequency of 2.3GHz |
| Memory | 64GB |
| Hard disk | SSD250G+HDD1000G |
| GPU | GTX1080TI 11GB |
| Network card | 1000M dual port Ethernet card |
| Power supply | 800W power supply |
| Operating system | Linux |
| Edge AI high-performance processor software performance indicators | |
| Transcoding video access | ≤ 30 channels |
| Analysis of video access | ≤ 30 channels |
| Computing power support | >13TFLOPS Fp32 support |
| Image analysis | 30 images/second/GPU |
| Supports real-time video analysis | 1 channel/GPU |
| Supports concurrent frame extraction (near real-time) analysis | with 15 channels/GPU |
| Supports timed capture analysis | 30 channels/GPU |
| Capture interval | ≤ 10 seconds |
| Algorithm package | customizable for different analysis objects |
| AI service support | continuously optimizing algorithm packages and customizable extensions |
| Communication protocols | HTTPS, TCP, UDP, etc |
| Authorization method | Hardware encryption dog authorization |
| Support encoding resolution | Dynamic adjustment within the range of 720P-1080P |
| Algorithm framework | Built in AI algorithm frameworks such as Pytorch, TensorFlow, and Darknet |
Chongqing Yingka Electronic Co., Ltd., established in 2007, is located in the Erlang Overseas Student Pioneer Park, Jiulongpo District, Chongqing, China. The company is dedicated to the research and development of wireless sensor networks and AI technology, equipment, and systems for various applications in forestry, scenic areas, and power sectors. These applications include forest fire prevention, forest pest control, wildlife monitoring, bird monitoring, and ecological environment monitoring. Yinka Electronics has successfully overcome key challenges such as long-term field power supply, wireless networking in the field, and reliable low-power sensing. The company has undertaken the "National IoT Application Demonstration Project" by the National Development and Reform Commission and has accumulated over 10 years of experience in forest fire prevention and environmental monitoring applications.
Yinka Electronics is a provider of IoT application solutions for forest fire prevention and environmental monitoring in outdoor environments. It has provided applications and technical services to over 100 scenic areas, forestry, and power units across China.
1. 16 years of experience in the production of IoT sensing devices
2. Experts in the IoT ecosystem industry
3. Collaborate with universities to establish a research team for expert academician workstations
4. Professional business personnel can respond online at any time
5. Comprehensive after-sales service
6. Customizable development and fast delivery
Online guidance and video tutorials for overseas buyers, with 24-hour online response
Q1: Are you manufacturer?
A: (yes)
Q2: What is the delivery cycle?
A: Usually one month
Q3: How do you ship the goods and how long does it take arrive?
A: We usually ship by DHL, UPS, FedEx or by Air. 3-5 days after payment received.
Q4: Can I have a sample order?
A:Yes,we welcome sample order to test and check quality.
Q5: Do you offer OEM service?
A: Yes, we can design the things according to your request.
