Difference between revisions of "Automated Recognition between alkaline and non-alkaline AA batteries"

From AIRWiki
Jump to: navigation, search
(New page: == '''Part 1: project profile''' == === Project name === Automated Recognition between alkaline and non-alkaline AA batteries. === Project short description === The project is about bu...)
 
(Building an image recognition system capable of automatically distinguish beetween alkaline and non-alkaline AA batteries.)
Line 48: Line 48:
  
  
- Detection and picture rectification of batteries.
+
- Detection and picture rectification of batteries
  
 
- Database Indexation
 
- Database Indexation

Revision as of 13:10, 28 October 2009

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: 2009/10/23

Not already defined

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