Topic: Workshops added

[Jeff Goudeau]

The following workshops were added today:
Sunday, May 29, 2016 - Full day workshop
Fired Bullet Performance in Wood
Instructors:      Dan Alessio, Oregon State Police Forensic Services
                       Matthew Noedel, Noedel Scientific
 
Class Size:  Limit 24
Course Cost:  $80 (Lunch included)
Time:  9:00 AM – 3:00 PM
 Location:  Slidell Police Academy/Camp Villere
 This workshop will examine bullet performance after impacting various wooden structures. Students in this course will work in groups to help organize experiments comparing test shots from pistols, rifles and shotguns into plywood, press board, 2x4, 2x6 and other similar wooden structures. Variables will include the resulting appearance of angled shots that travel with the wood grain-vs-against the wood grain; deflection of pellets from shotgun patterns and general performance of projectiles when perforation occurs. Experiments will include a variety of different ammunition including some unique “specialty” handgun ammunition.
 
 
Quantitative Measurement and Automated Bullet Comparison Using High-Resolution Optical 3D Surface Metrology

Instructors:      Cristina Cadevall, Software Manager / PhD, Sensofar Tech
 Bill Henderson, Eastern Region Manager, Sensofar LLC
 Erich Smith and/or Jennifer Stephenson, FBI Labs
 
Class Size:  Limit 24
Course Cost:  $45
Time:  1:00 PM – 5:00 PM
Location:  Rosedown Room
It is a general goal in the firearm and tool mark analysis sciences to provide quantifiable, objective information to assist the examiner with routine casework.  Three-dimensional measurements of bullet surfaces enable quantifiable mathematical comparisons between any two surfaces, which can supplement traditional comparison microscopes or 3D virtual microscopy, which provide qualitative information.  In order to further that effort, we will present a method for making accurate topographic measurements of bullet land surfaces, along with a methodology to extract individual characteristics and calculate a composite comparison score between two bullets. This makes it possible to automatically process large batches of bullets for comparison and provide the examiners with a list of probable bullet matches by applying filtering criteria on comparison scores.
 

 
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