Manual warehouse inventory is time-consuming, labour-intensive and particularly challenging when products are stored on high racks.
D.I.V.A. (Drone-based Inventory & Visual Automation) is AVIBOT's automated warehouse inventory solution, combining autonomous indoor drones, artificial intelligence and computer vision to streamline inventory checks and improve stock visibility.
Using DJI Enterprise drone technology and advanced indoor navigation, D.I.V.A. is designed to scan warehouse locations, identify product information and support inventory data verification without requiring operators to access elevated storage positions for routine visual checks.
The result is a smarter approach to warehouse inventory management, designed to reduce manual inspection effort, improve operational safety and support more accurate, frequent inventory checks.
DIVA — Drone-based Inventory & Visual Automation — combines autonomous drone operations and computer vision to support warehouse inventory processes.
Autonomous drone navigation inside warehouses presents a major challenge: GPS signals are often unavailable or unreliable in indoor environments.
D.I.V.A. uses SLAM (Simultaneous Localization and Mapping) technology to support drone localization and navigation without relying on satellite positioning.
3D Mapping and Localization: The system uses sensor data to map the surrounding environment and estimate the drone's position within the warehouse.
Autonomous Indoor Navigation: The drone is designed to navigate warehouse aisles and storage areas, with obstacle detection and avoidance capabilities supporting safer operations.
GPS-Independent Operation: SLAM-based navigation enables indoor inventory applications in environments where satellite positioning is unavailable, subject to warehouse conditions and system configuration.
D.I.V.A. combines drone-based image acquisition with artificial intelligence and computer vision to automate the collection of warehouse inventory information.
Instead of relying entirely on manual barcode scanning at elevated storage locations, the system processes visual data captured during drone inspection operations.
Barcode and Label Recognition: Computer vision technologies identify and read supported product labels, barcodes and QR codes, including relevant GS1 identification formats.
AI-Powered Data Extraction: Image processing and recognition algorithms can extract information such as product identifiers, batch numbers and expiration dates when available and legible on the labels.
Automated Inventory Verification: The collected information can be associated with warehouse storage locations and used to support stock verification and discrepancy detection.
Reading performance depends on label quality, visibility, lighting conditions and the configuration of the acquisition system.
The value of automated warehouse inventory goes beyond barcode scanning. D.I.V.A. is designed to transform the information collected by drones into structured data that can support warehouse management and inventory control.
Integration with ERP and warehouse management systems (WMS) can enable companies to compare physical inventory observations with their existing digital records.
We combine industrial automation, computer vision and systems integration expertise to help connect physical warehouse operations with digital inventory management.
ERP and WMS Connectivity
Inventory data can be exchanged with compatible business management platforms, subject to the available interfaces and integration requirements.
Inventory Discrepancy Detection
Information collected during inspections is compared with expected inventory records to identify mismatches, missing items or incorrect locations.
Digital Warehouse Visibility
Structured inventory and precise location data can support a more accurate digital representation (digital twin) of warehouse operations and stock positions.
Inventory Data Synchronization
Depending on the integration architecture, verified information can be transferred to existing management systems, reducing repetitive manual data entry.
D.I.V.A. is designed for logistics environments where manual stock checks are time-consuming, complex or require operators to access elevated storage locations.
By combining autonomous indoor drones with AI-powered visual identification, warehouse operators can automate repetitive inspection activities and improve inventory visibility.
Inspect labels and storage locations on elevated warehouse racks without requiring operators to physically access every location during routine visual inventory checks.
Support more frequent stock verification activities by collecting inventory information through repeatable drone inspection missions.
Compare visually acquired inventory information with expected warehouse records to identify possible missing items, incorrect locations or mismatched product identifiers.
Use indoor navigation and computer vision to support systematic inventory checks across warehouse aisles and storage areas, subject to site-specific operating conditions.
Improved Workplace Safety: Reduce the need for operators to access elevated warehouse racks during routine inventory checks.
Faster Inventory Operations: Automate repetitive data collection activities and reduce the time and resources required for manual stock inspections. Greater Inventory Accuracy: Support consistent barcode recognition, inventory verification and detection of discrepancies between physical stock and digital records.
Minimal Operational Disruption: Enable more frequent inventory checks with reduced interference in normal warehouse activities, depending on the operating environment and safety requirements.
Tell us about your warehouse, rack configuration and inventory process. We can set up a demo for you.
D.I.V.A. is designed for warehouses with elevated storage locations and repetitive inventory inspection requirements. Its suitability depends on factors such as warehouse layout, racking configuration, aisle dimensions, lighting conditions and operational constraints. AVIBOT can assess these characteristics to determine whether autonomous drone inventory is technically feasible for your facility.
An initial assessment typically requires information about warehouse dimensions, racking heights, aisle widths, storage locations, barcode types and existing inventory management procedures. Details about your ERP or WMS and current inventory challenges can also help define the appropriate solution.
Integration begins with an assessment of the warehouse environment and technical requirements. AVIBOT then evaluates indoor navigation, image acquisition, barcode recognition and connectivity with existing management systems. The proposed configuration is validated against the operational requirements before deployment.
A preliminary feasibility study can identify the technical requirements and potential limitations of the application. Where appropriate, a pilot test or proof of concept may be considered to evaluate navigation, barcode reading performance and integration requirements under representative warehouse conditions.
Discover whether D.I.V.A. can help automate your inventory operations. Share your warehouse characteristics and operational requirements with our team.