my country is one of the countries with the richest wildlife resources in the world. In recent years, with the improvement of the management level of nature reserves and the development of modern information technology, it is of great significance to protect my country's wildlife and biodiversity to establish and improve my country's wildlife resource monitoring system based on wildlife resource surveys.
Due to the performance defects of infrared cameras themselves and the use of environmental factors, the cameras are severely damaged and difficult to recycle; because of the lack of plans and insufficient statistical analysis; due to the movement of light spots or the slightest disturbance, there are too many false shots and empty shots, which occupy the SD card memory and make species identification difficult; using SD card local storage requires a lot of manpower to obtain data on site. In view of the shortcomings of long monitoring cycle, high implementation cost, and difficulty in species identification in the process of wildlife image collection, Onik Optics has spent one year and a lot of manpower and material resources to develop and design a wildlife image monitoring and management system based on wireless sensor networks. Finally, it is online!
onick Wildlife Image Monitoring and Management System uses infrared sensors to sense wildlife, uses image sensors to collect images, and transmits images to coordination nodes through low-power wireless sensor networks, and then uploads them to the server using 4G networks. The monitoring system uses deep learning modeling to automatically identify and perform statistical analysis.
About the system:
Camera management: display camera information (coordinates, number, temperature and humidity, etc.), deploy cameras, and deploy camera path trajectories;
Data statistics: protected area information, species statistics, species classification (by time, region, weather type, etc.);
Photo analysis: identify species (screen effective photos and delete useless photos), extract photo information (time, location);
Store images: store wildlife image data and accumulate species distribution records;
Promote wildlife monitoring data sharing and scientific research cooperation; promote wildlife diversity research, protection and management; increase wildlife information exchange and popular science publicity
While designing and developing a wildlife image management system, we also developed an APP server that can be used with infrared monitoring cameras, so that relevant information can be viewed on a mobile phone anytime and anywhere without delay.
Onick AM-36 Wildlife Infrared Monitoring Camera with MMS supports up to 36 million pixel HD photo taking and 1920x1080 HD video shooting. The instrument starts up quickly, with clear images and true colors. No flash design, no flash when shooting at night, not easy to expose. Users can number and name the camera. It can be equipped with a cloud platform system to identify and analyze the captured pictures and videos, and the camera can be remotely controlled by mobile phone APP.
In the future, we will associate Onick brand rangefinders, telescopes, night vision devices, thermal imaging and other products with it to form Onick's unique 4G image transmission system ecosystem and provide new solutions for the industry application of products. Interested customers are welcome to consult!
