Clothe-IT is the brain child of David Parker, a Detective who found that witnesses who could not remember sufficient facial details to produce an E-FIT facial likeness, were sometimes still able to produce a full length likeness which led to an identification. This makes Clothe-IT an important resource for identifying suspects.
Clothe-IT is an easy-to-use standalone program that allows the creation of full length, life-like images of suspects, including details of the build and the clothing worn when committing the crime. A face created using a facial identification program, such as E-FIT, can be added to a Clothe-IT™ image and automatically resized itself, to enhance the likeness. The complete image can be pasted into a crime scene photograph and released through the media to “jog the memory” of other possible eyewitnesses.
The Clothe-IT databases employ a wide range of clothing and accessories such as hats, weapons and most major world sports and fashion logos. Operators can also easily import their own choice of clothing items and accessories into Clothe-IT, thus allowing them to keep in step with local styles and current fashions.
Announcing EFIT6 FACEbox
EFIT6 FACEbox is the complete face composite solution combining the EFIT6 software with high performance hardware and an exceptional support package into a single system. It has never been easier to produce accurate and realistic facial composite images.
To find out more about EFIT6 FACEbox click here.
Contact us for full details of how EFIT6 FACEbox can aid your investigations.
See Visionmetric's Dr Chris Solomon speak on CNN
Composites increase the performance of identification from line ups. See http://www.jove.com/video/53298/holistic-facial-composite-creation-subsequent-video-line-up
Welcome to new EFIT6 customers
- South Wales and Gwent
- Devon and Cornwall
- The South African Police Service
- Trading Standards Authority
We look forward to working with you all.
FORTHCOMING TRAINING COURSES:
- Facial Identification Training 2019 Course: EFIT6, Canterbury, January 7th - January 11th 2019