Electro-optical and thermal cameras with 20x zoom enable real-time monitoring in low light, fog, with AI detecting threats.

Robotic security systems are moving closer to real-world deployment across industrial sites. DroneDog, developed by US-based Asylon in collaboration with Boston Dynamics, combines the latter’s Spot with the former’s modular security system, PupPack, to offer a seamless surveillance experience.
Along with human monitoring, the system is designed to carry out continuous site patrols, operating seven days a week.
According to the companies, it can detect security breaches, monitor activity, and track assets, aiming to reduce theft and vandalism without interruptions caused by human absence.
Recently, China displayed robot dogs that used a shared “brain,” coordinating like a wolf pack to perform complex urban tasks, signaling advanced autonomous warfare.
DroneDog: AI-powered security patrol
Asylon has outlined a range of features for its DroneDog security system, combining mobility, sensing, and networked operations. The platform includes all-terrain mobility, allowing it to climb stairs, traverse uneven terrain, and operate in confined or complex environments where fixed systems have limited reach.
The modified Spot robot is equipped with secure communication systems that use LTE and mesh networking, along with AES-256 encryption and redundant uplinks. This setup is designed to ensure continuous and protected transmission of video and telemetry data during operations, reports Electrek.
When battery levels drop, the robot autonomously returns to its docking station, known as the “DogHouse,” where it recharges. The rugged, high-impact enclosure is designed to shield the system from environmental conditions while ensuring continuous operational readiness.
For surveillance, the system integrates high-resolution electro-optical and thermal cameras, supported by a 20x optical zoom. These sensors enable real-time monitoring across a wide range of conditions, including low light, fog, and obstructed environments, while onboard AI and machine-learning classifiers help identify and flag potential threats.
According to Asylon, DroneDog also supports automated patrolling, either through pre-programmed routes or on-demand deployment in response to alarms or incidents. The system is further enhanced by cloud connectivity and an expandable payload port, allowing additional hardware or sensors to be integrated based on operational needs.
Human oversight remains part of the workflow through integration with Robotic Security Operations Center, where remote analysts monitor activity, verify alerts, and direct responses when required, ensuring continuous supervision alongside autonomous functions, reports Electrek.
Smart security networks
Robotic security is moving from concept to real-world deployment, with robots, drones, and AI now in active use. According to Asylon, the focus has shifted from adoption to effective integration, enhancing existing systems while improving efficiency and reducing friction.
Asylon positions its approach around software rather than hardware alone. Its platform, DroneIQ, is designed to connect robotic assets, fixed surveillance systems, and human operators within a unified environment. Instead of functioning as standalone tools, robots become part of a coordinated security network.
Modern security environments rely on multiple systems, including cameras, alarms, and access control. While robots add mobility and extend visibility, many deployments struggle due to fragmented data and disconnected workflows. DroneIQ addresses this by acting as a central coordination layer or as a data bridge that integrates with existing platforms, enabling consistent information flow and decision-making.
The platform uses AI and machine learning trained on hundreds of thousands of missions to improve threat detection and response over time. It supports automated patrols, real-time video analysis, and autonomous alarm response, while maintaining human oversight through remote operations or in-house teams.
Depending on estimates, the DroneDog and DogHouse system—built on Spot’s $74,500 base price—is expected to cost well over $150,000, with additional expenses for human monitoring through payroll or subscription services, reports Electrek.
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Jijo is an automotive and business journalist based in India. Armed with a BA in History (Honors) from St. Stephen's College, Delhi University, and a PG diploma in Journalism from the Indian Institute of Mass Communication, Delhi, he has worked for news agencies, national newspapers, and automotive magazines. In his spare time, he likes to go off-roading, engage in political discourse, travel, and teach languages.























