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CASE STUDIES
Real-world cases from global deployments, covering AURA's six core scenarios.
A coastal region with multiple inhabited islands (each with over 100 permanent residents) previously relied on boat freight for supplies. Weather disruptions halted service an average of 3–5 days per month, making fresh goods delivery highly unreliable. After deploying a combined fixed-wing and multi-rotor fleet, all islands within a 30 km radius can now receive same-day delivery. Each flight carries approximately 15 kg of cargo with autonomous takeoff/landing and fully automated route planning — no human intervention required. Since launch, resident satisfaction with delivery timeliness has risen from 47% to 93%, boat freight frequency has decreased, and overall operating costs have dropped significantly.
Villages in a high-altitude region sit at an average elevation of over 3,000 m. Mountain roads are rugged with seasonal closures, traditional manual transport is costly and slow, and some villages are completely cut off from supply lines during rainy and snowy seasons. The project deployed heavy-lift multi-rotor UAVs with a max payload of 50 kg per unit, with power systems specially tuned for high-altitude low-pressure conditions and capable of withstanding Force 8 crosswinds. In the first year of operation, over 1,000 delivery missions were completed, covering 32 remote settlements. Average delivery time was compressed from 6–8 hours by human transport to under 45 minutes. Supply continuity was maintained through 3 extreme-weather road closure events, with zero safety incidents.
An agricultural cooperative manages over 50,000 mu of farmland planted with rice, corn, and cash crops. Traditional manual crop protection spraying has long cycle times, uneven pesticide application, and faces labor shortages during peak seasons. After introducing a UAV crop protection fleet, RTK centimeter-level positioning and variable-rate spraying technology are used to dynamically adjust spray volume based on crop type, growth stage, and pest heat maps. Routes are automatically planned and operation tracks recorded for full data traceability. First-season data shows that average per-mu crop protection cost dropped by 45%, pesticide usage decreased by approximately 30%, and the single-day maximum coverage area exceeded 3,000 mu.
A region hit by sustained heavy rainfall experienced widespread flooding. Roads were cut off, communications damaged, and some villages became isolated islands. Upon receiving a request for assistance, we completed equipment mobilization and on-site deployment within 12 hours. A reconnaissance UAV fitted with thermal imaging and visible-light dual cameras took off first, performing a systematic scan of the affected area and relaying the positions of stranded residents to the command center in real time to help rescue teams plan entry routes. At the same time, a separate cargo UAV delivered medicine, food, and communication equipment to 4 isolated villages in batches, completing a total of 37 effective delivery missions — until ground rescue routes were reopened.
A regional water authority manages over 400 km of river channels. Traditional manual inspections are infrequent and difficult to standardize, leading to missed discharge outlets and delayed detection of water quality anomalies. After deploying an unmanned surface vessel (USV) fleet, full-route coverage inspections are completed weekly along preset routes. The vessels carry multi-parameter water quality sensors (pH, dissolved oxygen, ammonia nitrogen), with data uploaded in real time to the water management platform. When an anomalous reading is detected, the system automatically triggers an alert and saves on-site video footage as evidence. Within the first six months of trial operation, 7 suspected illegal discharge outlets were identified, and average water quality anomaly response time was cut from 3 days to under 2 hours.
A university district with multiple campuses and commercial areas has over 100,000 students, faculty, and staff. Daily food delivery and courier order volumes are massive, but external vehicles are not permitted to enter the campus freely, and the last-100-meter delivery step has long relied on manual labor — with severely insufficient capacity during peak hours. After introducing outdoor wheeled delivery robots, the robots autonomously pick up orders from fixed collection points within the campus, navigate through campus roads and plazas with autonomous obstacle avoidance, and notify recipients to scan and collect their packages upon arrival at designated spots outside dormitories and offices. Since stable operation began, daily delivery orders exceed 1,200, the delivery success rate is 98.7%, no additional labor is required during peak hours, and robots autonomously return to charging stations at night — with extremely low maintenance costs.
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