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Farsight™ Unattended Low-Altitude System

The Farsight™ System is a next-generation, fully automated aerial monitoring solution designed for persistent, large-scale operations. Integrating the high-endurance Y-1 VTOL UAV, the intelligent UAV Smart Hanger, and the powerful Swift AI platform, it delivers a complete "detection-to-action" workflow. This system overcomes traditional limitations of coverage, frequency, and cost, enabling 24/7 intelligent surveillance and data acquisition across thousands of square kilometers without on-site personnel.

Technical Specifications

Component

Parameter

Specification

System Performance

Maximum Operational Radius

30-50 km


Typical Coverage Area

> 3,000 km²

UAV Smart Hanger

Battery Swap Time

< 5 minutes


Landing Precision

±10 cm


Communication

1000M Fiber / 4G / 5G


Operational Temperature

-20°C to 50°C

Control & Safety

AI Platform

Swift AI


Emergency Parachute

Yes (Activates at 110 km/h)

Core Aerial Platform

UAV Model

Y-1 VTOL Fixed-Wing


Role

System's primary data acquisition unit

Core Advantages

Wide Coverage · Minimal Deployment: With an operational radius of 30-50km and a single-flight coverage area of 30km², only a few systems are needed to fully cover large regions (e.g., Nanjing: 6587km²), reducing deployment quantity by 98% compared to traditional multi-rotor nests and significantly lowering infrastructure investment.

Fully Autonomous Operation · Efficient Collaboration: The UAV Smart Hanger supports 5-minute intelligent battery swapping and adapts to full scenarios from -20℃ to +50℃, enabling autonomous takeoff/landing, environmental monitoring, and fault early warning of UAVs. Equipped with the Y-1 UAV's 150-minute long endurance, it can complete 3 flights per day, increasing data acquisition efficiency by 25 times compared to traditional solutions.

Multi-Modal Fusion · Comprehensive Data: Compatible with diverse payloads such as panorama cameras (420MP total pixels, 900MP single photo), LiDAR scanners (2000kHz emission frequency), tilted cameras (300MP total pixels), and hyperspectral cameras (280 spectral channels), it can acquire multiple types of data (video, image, point cloud, thermal infrared) in one flight to meet cross-scenario analysis needs.

AI Empowerment · Intelligent Closed-Loop: Equipped with the Swift AI multi-modal large model, it supports intelligent recognition of over 10 types of targets including highway debris, landslides, pine wood nematodes, and flames. It realizes a full business closed-loop of "data collection - real-time analysis - early warning push - work order distribution - on-site verification - result feedback", improving recognition accuracy and processing efficiency by 80% compared to manual work.

Safe & Reliable · Compliant & Controllable: Equipped with an intelligent parachute system (maximum opening speed 110km/h, opening time 1.2s) and a maximum descent speed of only 5.5m/s, it ensures low-altitude operation safety. Supports custom electronic fences and no-fly zone warnings to prevent entering sensitive areas, complying with global low-altitude flight regulations.

Low-Cost Operation & Maintenance · Long-Term Adaptability: The system's construction and operation cost is only 1/10 of that of traditional multi-rotor nest clusters (total investment of a single system over 5 years < 4.5 million RMB, equivalent to 15% of the total investment of 60 multi-rotor nests). The modular design supports hardware upgrades and algorithm iterations, adapting to long-term business development needs.

Applications & Case Studies

Smart City & Compliance: Automated city-wide monitoring for unauthorized construction and land use changes, as deployed in Xiamen's change detection project.

Environmental Protection: Large-scale inspection of river outfalls and coastline, utilized in Qingdao's pollution source survey and Weihai coastal patrols.

Precision Forestry: Early detection of pine wilt disease through AI analysis of spectral data, demonstrated in surveys across Zhejiang and Shandong.

Linear Infrastructure Inspection: Efficient, automated patrols for power lines, highways, and pipelines.


Related cases
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Wuhan basic surveying and mapping project and real scene 3D production
Digital watershed project's LiDAR
Guiyang project's DEM
Under the same flight conditions, the coverage area is wider, effectively reducing the number of routes and clips, saving a lot of flight time, reducing the number of image control points, and better ensuring the progress of the project.
Huai'an project's DOM
Feiyan use DLG to process aerial remote sensing images, obtain the original position and attitude of the images, and form a stereo image pair through the correlation of adjacent images. Then software and professional hardware equipment are used to track the 3D in the 3D visual formation, collect the 3D data, and then import the map editing system for editing, and finally obtain vector geographic information.
Tengger Desert Project's 1:1000 scale DLG
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