Some Drone Data Processing and Visualization Samples
Hypotesis: In any autonomous flight mission, the number of UAVs needed to accomplish a mission is very important in order to keep SLA of the Service. As an example, think about Fire Rescue: several considerations need to be taken to define the right number of units that can perform de Job. Environmental conditions such as Weather, Season, Territory coverage extension, Altitude, Closeness to the water Drone Data: Batery Capacity, Sensors Information, etc
First question to answer will be: How many drones do I need in a fleet to accomplish a mission? A mission can be a fire rescue, a monitoring service, an agriculture scenario, etc
My Datasources will be: The Flight Data that is [here] (https://raw.githubusercontent.com/guadacasuso/DroneDataAnalytics/master/Data/flight_data.csv) and also I will need to add some other measurements such as Battery and Sensors operation.
For weather I will use the Accuweather Public Datasource https://www.wunderground.com/weather/api/
Models Clustering DBScan
Challenges and successes
Business Impact The mail goal of this project is to be able to achieve efficiency in the use of drones In terms of potentiality I see the possibility of:
- Analizing sensors performance and improve batteries development/usage (For Manufacturers)
- Track Drones components life and improve (For Manufacturers)
- ReStock of drones
Conclusions and Key Learnings
Topics to cover: Problem statement and hypothesis Description of your data set and how it was obtained Description of any pre-processing steps you took What you learned from exploring the data, including visualizations How you chose which features to use in your analysis Details of your modeling process, including how you selected your models and validated them Your challenges and successes Possible extensions or business applications of your project Conclusions and key learnings