Powered by onboard AI and multi-UAV collaboration, BeeSmart operates as an integrated aerial data collection system that connects real-time processing, mapping, target detection, positioning, and mission support within one workflow. It is designed for large-area mapping, intelligence, surveillance and reconnaissance (ISR), emergency response, and other time-sensitive operations requiring rapid spatial intelligence in the field.
Industry Pain Points
Many aerial workflows depend on ground-side computing for mapping and analysis, which can limit responsiveness in remote, border, or disaster environments where communication and computing infrastructure may be unavailable or unstable.
Single-UAV operations can limit coverage and mission speed in large-scale drone surveying and mapping, aerial monitoring, and other complex missions where multiple tasks must be completed simultaneously.
Large volumes of raw imagery can consume substantial bandwidth and delay access to useful results, particularly when missions rely on transferring data to external systems for processing.
Time-sensitive ISR and mapping missions often require both high spatial accuracy and rapid processing, creating a challenge for workflows that separate data collection from analysis.
BeeSmart combines onboard intelligent computing, a collaborative multi-UAV network, and a portable ground terminal in an integrated air-ground architecture. A decentralized ad-hoc communication network connects aircraft, onboard processing, and ground-side mission management, supporting workflows from mission planning and data collection to real-time processing and result delivery with reduced dependence on fixed ground infrastructure.
The system integrates airborne communication, onboard real-time DOM generation, and a drone fleet management system for coordinated UAV operations within a unified mission environment.
Solution Highlights
Onboard AI computing allows key mapping and analysis functions to operate locally, reducing reliance on external computing centers and supporting field missions where communication or infrastructure is limited.
Heterogeneous UAV collaboration and coordinated task scheduling can improve mission efficiency by 5–10× compared with validated single-UAV workflows, depending on mission scale, terrain, and fleet configuration.
Onboard processing reduces the need to transmit full raw-image datasets, with validated workflows reducing communication load to as little as 1% of conventional raw-data transmission. Supported targets can be detected and tracked within seconds, helping mission teams access key information earlier.
Supports centimeter-level UAV mapping and sub-meter target positioning under specified operating conditions for missions requiring high-accuracy spatial outputs.
BeeSmart can be configured with a 35 mm full-frame imaging system and a 40× optical zoom tri-sensor payload. Under validated test conditions, the system supports human detection at up to 11.1 km and vehicle detection at up to 20 km, with recognition distances of up to 2.7 km for people and 11 km for vehicles.
Supports coordinated fixed-wing and multirotor UAV operations, with integration available for supported DJI industrial platforms and other compatible mission configurations.
Supports task allocation and route planning for 30+ UAVs in approximately one minute under validated configurations, with dynamic route optimization and mission efficiency improvements of up to 5–10× compared with tested single-UAV workflows.
An onboard AI computing unit with ≥275 TOPS supports photogrammetry drone mapping system workflows by integrating visual SLAM, photogrammetry, mapping, and AI analysis within the airborne processing pipeline.
Generates 2D/3D reconstruction and DOM outputs during flight, reducing dependence on conventional post-flight processing.
Detects supported moving targets within seconds and tracks 20 or more objects simultaneously, with classification accuracy of ≥80% under validated test conditions.
As a high-precision drone 3D mapping system, BeeSmart supports centimeter-level 3D mapping, sub-meter target positioning, and change-detection accuracy of ≥95% under validated operating and dataset conditions.
Supports detailed UAV aerial mapping and 3D reconstruction of key areas and targets, providing spatial outputs that can be reviewed and used directly within supported mission workflows.
Designed for field deployment with an IP54-rated configuration, an operating temperature range of –10°C to +45°C, specified wind-resistance capability, and VTOL support for flexible takeoff and landing.
A decentralized Mesh ad-hoc network supports up to 32 nodes, with triple-layer encryption, dynamic frequency hopping, and carrier aggregation for secure and resilient multi-UAV communication.
Under line-of-sight conditions, the system supports air-to-ground communication distances of up to 100 km and data rates above 90 Mbps, enabling low-latency data exchange with reduced dependence on fixed ground-network infrastructure.
Supports border patrol and large-area reconnaissance with reconnaissance drone operations, 3D terrain reconstruction, and sub-meter target positioning. As a drone surveillance system, BeeSmart provides spatial information for mission planning and situational awareness.
Supports rapid post-disaster mapping, target location, and hazard assessment, with core-area reconstruction available in as little as 10 minutes under supported conditions to assist field response and rescue planning.
Supports infrared and visible-light inspection workflows for power and oil & gas infrastructure, enabling real-time detection of configured defects while reducing the need for personnel to access elevated or difficult-to-reach assets.
Supports centimeter-level mapping of areas up to 5 km² in 20–30 minutes under validated mission conditions, with tested workflows achieving up to 5× greater operational efficiency than comparable single-UAV approaches. The resulting data can support urban planning, construction monitoring, and large-area site management.
An intelligence surveillance and reconnaissance system goes beyond capturing footage — it processes data onboard to identify targets, generate maps, and transmit actionable intelligence in real time. Unlike standard UAVs that rely on ground stations for analysis, ISR drones operate as a complete closed loop without any external infrastructure.
BeeSmart delivers centimeter-level mapping accuracy, sub-meter target positioning, and ≥95% change detection as a photogrammetric drone mapping system. All 2D/3D models and DOM are generated onboard during flight — no offline post-processing needed.
BeeSmart is designed around a portable ground terminal that a single operator can manage, making the aerial surveillance system viable for small, fast-moving teams. Automated task planning and swarm scheduling significantly reduce the manpower typically required for multi-drone operations.
Icecypress provides direct technical support for deployment, integration, and operational questions. Teams with specific mission requirements are encouraged to reach out via the contact form — our team typically responds within 24 hours.
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