Anomaly Detection – Drone
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Artificial intelligence and drones are a match made in tech heaven. Pairing the real-time machine learning technology of AI with the exploratory abilities of unmanned drones gives ground-level operators a human-like eye-in-the-sky.
More than ever before, drones play key problem-solving roles in a variety of sectors: defense, agriculture, natural disaster relief, security and construction. With their ability to increase efficiency and improve safety, drones have become important tools for everyone from firefighters to farmers. Smart UAVs are so popular, in fact, that they’re now used on more than 400,000 jobs sites worldwide.
Uses of Drones :
- Defense
- Agriculture
- Delivery
- Security
- Disaster relief
- Disaster relief
Market :
According to a survey by the Stockholm International Peace Research Institute (SPIRI), worldwide military spending reached USD 1,981 billion in 2020, an increase of 2.6% from 2019. The United States ($778 billion), China ($252 billion), India ($72.9 billion), Russia ($61.7 billion), and the United Kingdom ($71.8 billion) had the top five defense budgets in 2020. (59.2 billion).
What Challenges Do Unmanned Aerial Vehicles Face?
- Safety
- Privacy
- Security
- Power
Technologies Used :
- Deep Learning
- Autoencoders
- CNN
- RNN
- Computer Vision
- Anomaly Detection
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