crime that day.
www.AmericanSecurityToday.com June 2019 - Edition 45
ShotSpotter Missions develops
risk assessments for future
crimes by collecting and analyzing
three sources of data:
• Historical crime data from a
police jurisdiction
• Public data such as weather,
transportation points, locations
of parks, schools, and
liquor establishments
• Exclusive ShotSpotter gunfire
data
Machine learning determines
the areas of highest risk and
the forecasts are turned into data-driven
patrol plans by shift
and beat every day, and disseminated
electronically to officers
in the field.
Missions carefully meters out
recommended time spent on a
directed patrol, suggests tactics
by crime type, and automatically
randomizes patrol
locations to minimize the possibility
of over or under policing
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