Automated Recognition between alkaline and non-alkaline AA batteries
Part 1: project profile
Project name
Automated Recognition between alkaline and non-alkaline AA batteries.
Project short description
The project is about building an image recognition system capable of automatically distinguish beetween alkaline and non-alkaline AA batteries given some real-time taken images. This is a task currently carried out by humans who take an average time of about 4sec per battery. The project aims to take significantly less than 4sec per battery to correctly perform the task.
Dates
Start date: 2009/10/28
End Date Done
Website(s)
People involved
Prof. Matteo Matteucci - User:MatteoMatteucci
Fabio Giannelli - User:FabioGiannelli
Simone Ceriani - User:SimoneCeriani
Project head(s)
Prof. Matteo Matteucci - User:MatteoMatteucci
Students currently working on the project
Fabio Giannelli - User:FabioGiannelli
Students who worked on the project in the past
Simone Ceriani - User:SimoneCeriani
Laboratory work and risk analysis
Laboratory work for this project won't include any harmful activity since it just involves a laptop, some lamps, a softbox and a camera for taking pictures.
Part 2: project description
Just a little skeleton of the work (it just started and details will be added as the project develops):
- Detection and picture rectification of batteries
- Database Indexation
- Error Characterization
- Smoothing
- Other approaches: SURF/SIFT, etc
