Businesses that manage large indoor facilities often rely on manual inventory counts and inspections, which are slow, error‑prone, and costly. The lack of rapid, accurate data hampers operational efficiency and increases labor expenses.

HoverSpect delivers an autonomous drone system that can be deployed in minutes to scan warehouses, distribution centers, and other indoor spaces. The drones navigate using sensor fusion and SLAM algorithms, capture high‑definition imagery, and apply AI‑based image recognition to count items and detect defects. Because the system is fully portable and requires no permanent infrastructure, it can be set up quickly and used in any aisle or site. The collected data is delivered in real time and can be integrated with existing warehouse management or ERP systems for immediate actionable insights. This approach reduces the time and labor needed for inventory and inspection tasks while improving accuracy and safety.

Zero‑setup deployment: portable base and drone can start scanning within minutes, no fixed infrastructure required

Autonomous indoor navigation using SLAM and sensor fusion for reliable aisle‑by‑aisle coverage

AI‑powered image recognition for automated inventory counting and defect detection

High‑definition scan data delivered instantly for review and analysis

Seamless integration with warehouse management systems (WMS) and ERP platforms

Cloud‑based storage and reporting, enabling remote access and collaboration

Flexible flight path programming to match specific facility layouts and inspection schedules

HoverSpect targets enterprises that operate large indoor facilities such as warehouses, distribution centers, and manufacturing plants, where accurate and timely inventory data is critical for operational efficiency.