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ZenaDrone tests proprietary camera enabling IQ Nano drone swarms

ZenaTech Press Release | May 8, 2025

Estimated reading time 4 minutes, 53 seconds.

ZenaTech, Inc. a technology company specializing in AI (artificial intelligence) drones, Drone as a Service (DaaS), enterprise SaaS, and Quantum Computing solutions, announces that its subsidiary ZenaDrone is testing a new proprietary specialized camera that enables more efficient indoor applications such as inventory and security management, when utilizing IQ Nano drone swarms for commercial and U.S. defense applications. 

The new camera prototype developed by its Taiwan component manufacturing subsidiary, Spider Vision Sensors, in collaboration with its certified electronics manufacturing partner, Suntek Global, will enable faster and more precise collection of data including multiple bar codes simultaneously scanned by multiple drones in a drone swarm. 

The company plans to apply for Blue UAS (unmanned aircraft systems) certification that lists and validates drones for military and government use.

“Our Spider Vision Sensors subsidiary in collaboration with Suntek Global, has helped us speed up development of customized and specialized cameras required for our innovative drone swarm applications for commercial and defense customers. This partnership will continue to be invaluable as we develop our NDAA-compliant supply chain and receive Blue UAS certification which will allow military and federal agencies to directly purchase our drones,” said CEO Shaun Passley, PhD.

Military and Defense departments use small autonomous indoor drones like the 10×10-inch IQ Nano for various applications such as inventory management, indoor building reconnaissance, search and rescue, training simulations, and explosives detection. 

ZenaDrone is also engaged in a paid trial which includes developing drone swarm applications for inventory management and security applications with a multinational auto parts manufacturer customer.

A drone swarm is a coordinated group of autonomous drones that communicate and work together using AI and real-time data sharing, to perform tasks collaboratively without direct human control. 

Drone swarms enhance efficiency, accuracy, automation, and performance compared to a single drone. 

Autonomous drones can rapidly scan thousands of bar codes or RFID tags per second with high accuracy, providing real-time visibility into inventory without disrupting workflows. A drone swarm can also cover more ground simultaneously, dramatically reducing inventory audit times and manual labour while providing near-total inventory visibility.

An AI drone swarm for indoor security and surveillance enhances coverage, response time, and efficiency by autonomously patrolling large areas, detecting threats, and providing real-time situational awareness. 

Unlike stationary cameras or human patrols, drone swarms can dynamically adapt to security breaches, track intruders, and coordinate movements to eliminate blind spots. 

AI-driven analytics enable them to identify anomalies, recognize faces, and detect unauthorized activity with high precision, reducing false alarms and improving security decision-making. 

Their autonomous nature minimizes human labor costs while ensuring 24/7 monitoring in complex environments like warehouses, data centers, or commercial facilities.

The ZenaDrone IQ Nano is available in 10×10 and 20×20-inch sizes, designed to perform regular and frequent inspections such as bar code or RFID scanning, facility maintenance inspections, security monitoring, 3D indoor mapping and other applications inside a warehouse, distribution, or plant facility. 

It is designed for autonomous use featuring integrated sensors, high-quality cameras, data collection and analysis including AI methodologies. Weighing 1.5 kg and with a flight time of at least 20 minutes before utilizing the automatic battery recharging station, it is designed for hovering stability and safety with obstacle avoidance capabilities.

This press release was prepared and distributed by ZenaTech.

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