Published Technical Disclosure Archive

AI Drone Swarm: Advanced Property Surveillance System

Publication ID: 24-11856938_0005_PTD
Published: October 26, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “AI Drone Swarm: Advanced Property Surveillance System,” Published Technical Disclosure No. 24-11856938_0005_PTD, Published October 26, 2025, available at https://archive.pr1or.art/24-11856938_0005_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,856,938.

Background and Problem Solved

The original robotic rover patent addressed the need for autonomous monitoring of properties. However, it had limitations in detecting and tracking unwanted animals. This new invention addresses these limitations by introducing a swarm of drones equipped with advanced AI-powered sensors, enabling real-time detection and tracking of unwanted animals, and providing a more comprehensive and effective property surveillance system.

Novelty and Inventive Step

The new invention provides a paradigm shift in property surveillance by introducing a swarm of drones equipped with advanced AI-powered sensors, enabling real-time detection and tracking of unwanted animals. The inventive step lies in the integration of machine learning algorithms, advanced sensors, and drone swarms to provide a comprehensive and effective property surveillance system.

Alternative Embodiments and Variations

Alternative embodiments of the invention could include using different types of sensors, such as acoustic or seismic sensors, or incorporating other deterrent devices, such as strobe lights or loudspeakers. The invention could also be adapted for use in different environments, such as agricultural or wildlife conservation settings.

Potential Commercial Applications and Market

The invention has significant commercial potential in the security and surveillance industry, particularly in the residential and commercial property sectors. The system could be marketed as a premium security solution, offering enhanced property protection and peace of mind for property owners.

CPC Classifications

SectionClassGroup
A A01 A01M29/00
A A01 A01M7/0042
A A01 A01M7/0085
A A01 A01M7/0089
G G05 G05D1/0088
G G05 G05D1/0094
G G06 G06V20/52
G G05 G05D2201/0207

Field of Art

Autonomous drone systems for property surveillance and animal monitoring, involving robotics, sensor technologies, machine learning, and environmental monitoring techniques

Person of Ordinary Skill (PHOSITA) Profile

An engineer with expertise in robotics, computer vision, AI, and sensor integration, typically holding a master's or PhD in electrical engineering, computer science, or robotics, with 3-5 years of experience in autonomous drone design and machine learning applications

Obviousness Rationale

A PHOSITA would recognize that the PTD's drone swarm and AI-powered detection system represents a straightforward extension of the source patent's autonomous drone monitoring concept. The integration of machine learning, multiple sensors, and adaptive deterrence strategies are predictable technological improvements within the existing drone surveillance domain. The core functional elements of property monitoring, animal detection, and autonomous navigation remain substantially consistent with the source patent's teachings.

Obvious Combinations & Variations

Source Patent Element
Drone with sensor for generating sensor data and analyzing property conditions
PTD Variation
Drone swarm with AI-powered sensors for comprehensive property surveillance
Obviousness Reasoning
Scaling single-drone monitoring to multiple drones is an obvious design optimization for increased coverage and redundancy, using known networked sensor technologies
Source Patent Element
Water nozzle for animal deterrence
PTD Variation
Multiple deterrent devices including loudspeakers, strobe lights, and adaptive deterrence strategies
Obviousness Reasoning
Expanding deterrent mechanisms is a predictable design choice using known environmental intervention techniques, representing a finite set of potential animal deterrence methods
Source Patent Element
Camera-based sensor for detecting unwanted animals
PTD Variation
Machine learning model trained on animal image datasets for advanced real-time detection
Obviousness Reasoning
Applying machine learning to improve sensor detection capabilities is a standard technological progression in computer vision and autonomous systems
Source Patent Element
Drone configured to receive signals and process transmitter information
PTD Variation
Central command center with user interface for monitoring and controlling drone swarm
Obviousness Reasoning
Centralized control and monitoring systems are standard architectural extensions in networked autonomous systems, representing an obvious technological evolution
Source Patent Element
Autonomous navigation and property monitoring capabilities
PTD Variation
Adaptive AI-powered tracking and deterrence strategies based on animal behavior
Obviousness Reasoning
Implementing adaptive intelligence in autonomous systems is a predictable technological improvement using known machine learning techniques
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11856938 and the published technical disclosure, a person having ordinary skill in the art would find the claimed drone swarm surveillance system with AI-powered detection and adaptive deterrence strategies to be an obvious variation of the prior art, lacking any non-obvious inventive step beyond the predictable application of known autonomous drone monitoring technologies.

Original Patent Information

Patent NumberUS 11,856,938
TitleRobotic rover
Assignee(s)Alarm.com Incorporated