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Deep-Learning Photography Drones

Clean the Sky - Positive Eco Trends & Breakthroughs

The Teal One Drone Achieves Whopping Speeds as High as 60mph

— October 14, 2018 — Tech
The Teal One drone has been developed by George Matus as a powerful solution for consumers that will allow them to perform a multitude of flying capabilities and more in a compact, versatile design.

The drone is outfitted with the Nvidia Jetson TX module along with its very own accompanying app to allow for augmented reality, autonomy and even deep-learning capabilities. The unit boasts a top speed of 60mph, which makes it powerhouse solution for consumers seeking out an entry-level solutions that is perfect for capturing their choice of scenes.

The Teal One drone is outfitted with a 12MP HDR camera sensor that offers 4K recording capabilities, while the standard GPS functionality ensures it's intuitive to fly.
Trend Themes
1. Deep-learning Drones - The use of deep-learning technology in drones can bring about better automation, tracking and image capture capabilities.
2. Augmented Reality-enabled Drones - Drones equipped with augmented reality can enable users to overlay digital information on real-world environments, opening up innovative new use cases.
3. Ultra-fast Drones - Drones capable of achieving extremely high speeds can enable more efficient and effective tracking, surveillance, and transport operations.
Industry Implications
1. Photography and Videography - Deep-learning, AR-enabled, and ultra-fast drones can transform the photography and videography industry by enabling more creative use of aerial footage.
2. Delivery and Logistics - Drones equipped with deep-learning algorithms and ultra-fast capabilities can revolutionize the delivery and logistics industry, allowing faster, safer, and more precise transportation of goods.
3. Agriculture and Land Surveying - The use of deep-learning and AR-enabled drones in agriculture and land surveying can enhance the accuracy and efficiency of crop monitoring, irrigation, and land mapping.
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