I interviewed Dr. Stefan Savage, the professor at the University of California San Diego, that directed the research team that developed a prototype for analyzing the images of keys to decode their bitting code.
The team issued a report last week that detailed its findings.
Although remote optical capture of bitting information is not new, the development of software to automatically analyze images of bitting codes may be unique in the commercial sector. You will recall that we were able to scan a Medeco m3 key last summer, email the image, and simulate a key that opened the lock using a piece of credit card plastic. The UCSD technique takes this one step further.
See the complete story on CNET Security.