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Sunflower Labs Announces Availability of World’s First Fully Autonomous Residential Security Drone 

By Alex Pachikov, Founder and CEO of Sunflower Labs

Today at CES, we announced the limited pre-order of the Sunflower Home Awareness Security System, the world’s first fully autonomous residential security drone. The system pairs always-on motion and vibration sensors with AI processing to provide homeowners with privacy and peace-of-mind. Starting today, interested buyers will be able to reserve units with a deposit of $999.

The Sunflower Home Awareness System consists of three components: Sunflowers, Bee and Hive.

  • The Sunflowers: Each Sunflower, disguised as garden lights, houses an array of motion and vibration sensors to constantly monitor activity on the property. Sunflowers are capable of detecting and differentiating people, animals and cars, and displaying the activity on a map in real-time.
  • The Bee: A lightweight, fully-autonomous drone that navigates safely to observe activity on your property. The Bee has advanced features such as automatic deployment, fully autonomous flight, ultrasonic collision-avoidance sensors, high-precision differential GPS, and live streaming video.
  • The Hive: This sleek protective, weatherproof housing and charging station not only keeps the Bee safe and powered up—it’s also the brains of the entire system, with world-class signal processing and analysis enabled by a world-class processor.

If the Sunflower system senses anything out of the ordinary, it sends an alert to the property owner’s mobile device. In seconds, the owner can choose to launch an autonomous drone flight and view real-time aerial footage of the property via the Sunflower Labs app, from anywhere in the world.

The base price for the system is $9,950—final pricing may vary based on customization of the sensor array. Be sure to visit us at ShowStoppers or check out the Sunflower system at Eureka Park at the Sands Expo, booth # 51306 at Hall G. For more information visit: https://sunflower-labs.com/.