Nightingale Security provides an autonomous drone solution for aerial surveillance and threat response, utilizing advanced computer vision and Robotic AI Intrusion Detection (RAID) to monitor facilities and detect intruders. This system enhances the effectiveness of existing security personnel and reduces operational costs by enabling real-time visual feeds and scheduled patrols without human intervention.
Funding
$5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many security teams face challenges in maintaining comprehensive surveillance over large facilities, especially during nighttime or in adverse weather conditions. Traditional security measures often require significant manpower and may not provide real-time visual data for immediate threat assessment and response. Existing systems can be slow to react to incidents, potentially increasing response times and operational costs.
Solution
Nightingale Security offers an autonomous drone-based aerial security solution designed to enhance existing security infrastructure. The system utilizes autonomous drones, equipped with advanced computer vision and Robotic AI Intrusion Detection (RAID), to conduct scheduled patrols and respond to alarms. Drones autonomously deploy to incident locations, providing live video feeds to security personnel, enabling rapid situational awareness and informed decision-making. The system includes base stations for autonomous drone deployment, charging, and weather protection, ensuring continuous operation.
Target Audience
The primary target audience includes security teams at critical infrastructure facilities, police and fire departments, and military and defense organizations seeking to enhance their surveillance capabilities and reduce operational costs.
Features
- Autonomous threat response: Drones are dispatched automatically upon alarm activation, providing real-time video feeds.
- Scheduled autonomous patrols: Configurable patrol missions with specific parameters for timing, paths, altitude, and camera orientation.
- Manual surveillance missions: Ability to dispatch drones manually to monitor events like spills or fires.
- Robotic AI Intrusion Detection (RAID): Drones autonomously patrol and send alerts only upon detecting human and vehicle intruders.
- Base stations: Weatherproof stations enable autonomous take-off, landing, and charging.
- Edge computing: Base stations provide network and computation capacity for drone coordination and machine learning processing.
- Mission Manager Software: Command and control interface for creating missions, launching drones, and viewing live video streams.
- Intelligent Path Planning (IPP): Optimizes flight paths for efficient surveillance.
- Onboard AI: Real-time object recognition and anomaly detection during missions.
- Multi-drone operations: Coordination of multiple drones for continuous coverage and redundancy.