Members and supporters of law enforcement often look forward to new advances in crime-solving techniques that may improve the process of identifying and apprehending offenders for the most difficult and prolific crimes. While many new techniques, including mtDNA analysis, advanced facial recognition software, and geographic profiling have aided in clearing many otherwise unsolvable cases, these methods have had very little impact on the incidence and clearance rate for burglary.1 As burglary is currently the most common, yet most unsolved crime in the United States with just 13 percent of all burglaries solved nationwide, a new tool is clearly needed to help investigators solve this problematic offense.
