Skip to main content

BCS Northampton (update) Machine Vision In The Mailing Machine Industry

Unfortunately the AGM has been postponed.

22nd October 2013 - Machine Vision In The Mailing Machine Industry

Location: University of Northampton Avenue Campus (The Great Hall), Newton Building, St Georges Avenue, Northampton, NN2 6JB
Time:Evening session with networking opportunities
Registration: 19:30 - 20:00
Presentation Commnences: 20:00
Presenter: John Blackburn
The aim of the talk is to describe machine vision as a prime mover for the support of mailing machine finishing.
1.1. Mailing Machine Introduction
1.2. Transactions
Introduce the relevance of transaction processing to mailing machines with comparison to the more familiar database transaction.
1.2.1. Definition of a Transaction
1.2.2. Mailing Machine Transactions
Description of how the mailing machine processes and enforces the integrity of transactions in the assembly of customer envelopes using camera read codes. Also describe how an organisation can create the printed material for a bulk mailing using a set of structured queries applied to a corporate database and a proprietary print process.
1.3. Machine Vision
Introduction of machine vision as a central component of mailing machine operations.
1.3.1. Machine Vision vs Image Processing
Explanation of the difference between image processing and machine vision.
1.3.2. Codes
1.3.2.1. Code Types
Description of the various code types read from paper and their characteristics.
1.3.2.2. OMR Example
Detailed example of how a camera can detect and decode an Optical Mark Recognition (OMR) code
Location: Newton Grand Hall, Newton Building, Avenue Campus, University of Northampton, St Georges Avenue, Northampton, NN2 6JD

Popular posts from this blog

Experiments in teaching Neural Networks

Excel Based







Scratch-based
More details available at https://computingnorthampton.blogspot.co.uk/2016/11/miniproject-using-scratch-to-build-and.html including links to the code.


All views and opinions are the author's and do not necessarily reflected those of any organisation they are associated with. Twitter: @scottturneruon

Social Analysis of Publications

The Computing staff's network of co-authors, at the University of Northampton, based on the University's  research repository NECTAR - http://nectar.northampton.ac.uk/view/divisions/SSTCT.html on 12th November 2016. The data goes back to 2010.




The data was analysed using the software VOSviewer - http://www.vosviewer.com/ free software for visualising networks. Differences in colours represents, the clusters of publications with those authors picked out by the software. The relative size of the circles is the relative number of publications listed; so for the two biggest circles/hubs it relates to 55 and 34 publications in this time period. Some relatively new authors, to the University but not to research, explains some of the 'islands' and the number of publications within it - it only reflects publications whilst at the University of Northampton.

To dig a little deeper, going to  look at the two biggest 'hubs' through their NECTAR records, so potentially going …

Computer lecturer’s research helps improve the next generation of technology

Taken from: http://www.northampton.ac.uk/news/computer-lecturers-research-helps-improve-the-next-generation-of-technology/ A computing lecturer at the University of Northampton, who is researching into how the efficiency of our everyday devices, such as mobile phones, can be improved, has been awarded the best paper at two recent conferences. Dr Michael Opoku Agyeman has written several journal papers focusing on how the next generation of technology can meet the ever increasing demands from consumers. He was invited to present his work at the 19th Euromicro Conference on Digital System Design in Cyprus and the Institute of Electrical and Electronics Engineers’ 14th International Conference in Paris. Part of his research concentrates on whether several processing elements can be incorporated on a single chip, known as System-On-Chip, to improve the efficiency and speed of the computing systems that we use every day, from mobile phones to video-game consoles and even medical equipment…