The UAV aircrafts are taking over the skies not only because they are enjoyable to fly but also because they will be now co-piloted by AI. Imagine a scenario in which drones will fly almost completely autonomously, with very minimal need of human control.
Drones see the world in a whole new way and with AI, the data collected by drones can be automated for reasoning, planning, language processing and knowledge representation.
Let’s dive into how PRYM Aerospace will collect and interpret data using AI.
Data Collection Methods:
- Eagle Eyes: High-resolution cameras can take super detailed pictures for tasks involving monitoring construction sites, inspecting infrastructure, and rescuing survivors of natural catastrophes.
- Laser Ruler: Light Detection and Ranging, or LiDAR sensors can measure distances with super precision and produce extremely accurate three-dimensional (3D) representations of buildings, mining sites, and landscapes.
- Beyond The Normal Vision: Imagine Multispectral Sensors picking up hidden clues from way up which are outside the visible spectrum. Aerial footage of this kind are primarily utilised in agriculture to find nutritional deficiencies, identify pests, and evaluate crop health. Multispectral imaging can also be beneficial for environmental monitoring.
- Heated Information: Changes in temperature can be detected using Thermal Imaging Cameras. They can spot potential fire hazards even before they start.
Analysis and Interpretation of Drone Data Through AI:
- Data Wrangling: All data collected from the drone is uploaded onto a computer in order to decode it efficiently. Then the data is filtered and arranged, and later the most important data is analysed based on the outcome expected from the operation.
- Feature Extraction: Imagine an AI detective which can crack specific patterns, details, and labels that can be used to extract features using artificial intelligence.
- Classification: A number of AI algorithms, such as Support Vector Machines (SVMs), are capable of classifying characteristics and objects according to patterns they have learned. SVM, for instance, can distinguish between a healthy and an unhealthy crop area.
- Turn Data into Decisions: AI doesn't just crunch numbers. Their models are able to generate reports and visualisations that support the extraction of insights and the empowerment of well-informed decision-making.
- Boosting Efficiency: Forget waiting for hours. With AI’s precision, large data sets can be processed all at once. Additionally, future challenges or problems can be predicted by AI data before they arise.
Role of AI in Optimising Flight Paths, Automating Tasks, and Improving Decision-Making:
- Flight Path Optimization: Imagine a super-powered AI GPS which is capable of computing precise flight routes, distance, wind speed, obstructions, and real-time weather.
- Automated Tasks: AI can perform a variety of tasks, including options for extended range, safety and real-time task updates like a helpful hand.
- Accurate Data Collection: AI can readily track objects and collect data consistently without missing a beat.
- Real-Time Insights: When it comes to data collection, making strategic judgments and eliminating tedious work, AI acts as a watchful guardian. For continuously monitoring flying parameters and guaranteeing general safety, AI algorithms can benefit.
- Quick Decisions: During a mid-flight operation, some intriguing data was collected by AI tools, enabling specialists to modify or alter the mission plan and indulge into unexpected discovery.