{"id":2209,"date":"2025-02-25T08:07:44","date_gmt":"2025-02-25T08:07:44","guid":{"rendered":"http:\/\/www.xingshitu.com\/?p=2209"},"modified":"2025-02-25T08:07:44","modified_gmt":"2025-02-25T08:07:44","slug":"%e7%94%9f%e6%80%81%e5%a4%a7%e8%ae%b2%e5%a0%82%e4%b8%8a%e7%9a%84%e6%96%b0%e6%98%9f-%e6%98%9f%e8%a7%86%e5%9b%be%e4%ba%ac%e5%b8%88%e6%99%ba%e4%ba%91%e7%8a%ac%ef%bc%9a","status":"publish","type":"post","link":"http:\/\/www.xingshitu.com\/en\/2025\/02\/25\/%e7%94%9f%e6%80%81%e5%a4%a7%e8%ae%b2%e5%a0%82%e4%b8%8a%e7%9a%84%e6%96%b0%e6%98%9f-%e6%98%9f%e8%a7%86%e5%9b%be%e4%ba%ac%e5%b8%88%e6%99%ba%e4%ba%91%e7%8a%ac%ef%bc%9a\/","title":{"rendered":"A new star in the ecological lecture hall -- StarView's \"Jingshi Zhiyun dog\": unlocking a new dimension of ecological observation!"},"content":{"rendered":"

February 18, 2025star view<\/strong>Technology Limited (hereinafter referred to as Star View) was invited to attend the conference organized by the Institute of Geographic Sciences and Resources of the Chinese Academy of Sciences (IGSR) at the \"Workshop on New Technologies, Methods and Instruments for Ecosystem Observations 2025<\/strong>\". At the conference, StarView was recognized for its innovative product \"Eco Pathfinder - Kyoshi Zhiyun Dogs<\/strong>\"Standing out and succeeding among\"Most Popular Products<\/strong>\"Top Three.<\/p>\n\n\n

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The Kyoshi Jiyun dog is<\/strong>What? Why is it so popular?<\/strong><\/p>\n\n\n\n

The Kyoshi Jiyun dog is<\/strong>one kind ofinnovative<\/strong>The integration of a variety of monitoring sensors robot dog, this product not only has advanced features, but also has excellent data analysis and processing capabilities, significantly improving the convenience of obtaining data in scientific research work. The following is a demonstration of its specific features:<\/p>\n\n\n\n

01. From \"visible\" to \"visible\" -- radar point cloud maps<\/strong><\/p>\n\n\n\n

The Kyoshi Jiyun dog carries theUltra wide angle LiDAR<\/strong>It is developed based on C++, python, etc. It provides more accurate 3D spatial mapping, which can be used for ecological 3D real-time modeling, map navigation, and provide accurate data for terrain survey, disaster warning, ecological environment, such as tree height, diameter at breast height, leaf area index, coverage, and depressant density.<\/p>\n\n\n

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02.<\/strong> Say goodbye to traditional constraints -- automatic recharging and guaranteed battery life<\/strong><\/p>\n\n\n\n

The device is equipped with a smart charging system thatWithout the need for traditional hand charging and battery anxiety, the<\/strong>When the power level falls below a set threshold, the Kyoshi Zhiyun dog willautomation<\/strong>Returning to the charging post to recognize the charging code and recharge ensures that long missions are not interrupted by a lack of power. This feature allows it to perform long field monitoring missions without human intervention.<\/p>\n\n\n

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03. Successful \"weight loss\" but \"gain\" -- multi-sensor integration and ecological monitoring<\/strong><\/p>\n\n\n\n

Jingshi Zhiyun dog through the technical teamcustomization<\/strong>Data Transfer Interface Protocol (DTIP) andautonomy<\/strong>hardware interface design.Break through the barriers<\/strong>The seamless integration of a wide range of monitoring sensors enablesMore convenient integrated control<\/strong>together withMore complex and accurate data management.<\/strong>Combined with the Internet of Things (IoT) technology, navigation data, operation logs and observation data can be automatically uploaded to the cloud, while local high-capacity storage and multiple data security measures ensure the integrity and reliability of the data. The following are the specific adaptable programs:<\/p>\n\n\n\n

+ wide-angle dome camera<\/strong>: Automatically calculates vegetation canopy parameters such as Leaf Area Index (LAI) and Vegetation Cover (FVC) through built-in algorithms, making it a self-propelled canopy analyzer.<\/p>\n\n\n\n

+ Spectral Climate Camera<\/strong>: Acquire vegetation indices such as Normalized Vegetation Index (NDVI), capture vegetation phenology information over large areas, and record animal phenology information at the same time as a self-propelled spectral phenology recorder.<\/p>\n\n\n\n

+ Depth camera<\/strong>: 3D vision capability to capture 2D images and depth information of objects for depth perception and object recognition, such as plant and animal classification, species identification and biomass estimation.<\/p>\n\n\n\n

+ Sound meter<\/strong>: Capture environmental sounds, combine with AI voiceprint library, intelligently recognize the sounds of birds, animals and insects, analyze environmental noise, and capture animal activity information such as population density and activity rhythms.<\/p>\n\n\n\n

+ thermal imaging infrared camera<\/strong>: Real-time acquisition of surface heat distribution images for detecting animal behavior and plant surface heat distribution, as well as monitoring soil temperature and moisture content.<\/p>\n\n\n

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04. \"Widening the road\" -- data collection and processing<\/strong><\/p>\n\n\n\n

With their excellent skills, KYSJIYUN dogs are able toAdaptable to multiple environments<\/strong>inDesignated time and place for automatic photo taking<\/strong>and throughImage processing techniques to calculate various vegetation indices<\/strong>, such as NDVI, RVI, DVI and so on. These data can provide strong support for research and decision-making in the fields of agriculture, forestry and ecological protection.<\/p>\n\n\n\n

05.<\/strong> \"Taking the road farther\" -- long distance cruising and parking<\/strong><\/p>\n\n\n\n

Technical team upgrades Kyoshi Zhiyun dog to support the longest in conjunction with field work2 kilometers<\/strong>of autonomous cruise route settings, customized time parked jobs andautonomous obstacle avoidance<\/strong>To avoid all kinds of unexpected situations, users can freely set the hovering point according to their needs to realize accurate data collection and monitoring. Whether it is a large-scale ecological survey or a detailed observation of a specific area, the Jingshi Zhiyun dog can easily cope with it.<\/p>\n\n\n

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application scenario<\/strong><\/p>\n\n\n\n

Scientific research and ecological monitoring<\/strong>: Through multi-sensor integration, Jingshi Zhiyun dog can provide researchers with rich ecological data to support biodiversity research, climate change monitoring, and so on.<\/p>\n\n\n\n

Agriculture and forestry management<\/strong>: Help farmers and forest managers optimize crop planting and forest management strategies through real-time monitoring of vegetation indices and canopy parameters.<\/p>\n\n\n\n

Environmental protection and disaster early warning<\/strong>: Monitoring of animal behavior and surface temperature changes through thermal imaging and acoustic analysis, providing data support for environmental protection and disaster warning.<\/p>\n\n\n\n

Field exploration and patrols<\/strong>: Replaces manpower for exploration and patrol in complex terrain, reducing work risk and increasing efficiency.<\/p>\n\n\n

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The welcome and discussion of the experts and scholars of this seminar on the Jingshi Zhiyun dog is not only a full affirmation of the scientific and technological innovation ability of StarView, but also an authoritative recognition of the product value of the \"Ecological Pathfinder - Jingshi Zhiyun dog\". In the future, StarView will continue to plough into the field of ecological monitoring, driven by technological innovation, to contribute to the construction of a smarter and more efficient ecosystem observation system, and to help the construction of ecological civilization to a new height.<\/p>\n\n\n\n

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If you are interested and have questions please contact us<\/h2>\n<\/div>\n\n\n\n
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Beijing Star View Technology Co.<\/p>\n\n\n\n

Address: 806 Tongjing Building, Apple Park Avenue, Shijingshan District, Beijing, China<\/p>\n\n\n\n

Tel\uff1a18201076577\u00a0<\/p>\n\n\n\n

Public: WeChat Swipe on the lower left side<\/p>\n<\/div>\n<\/div>\n\n\n\n

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<\/div>\n<\/div><\/div>","protected":false},"excerpt":{"rendered":"

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