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Five ways law enforcement can make the most of their digital evidence Preventing crimes, protecting communities, and saving lives

Law enforcement needs all available data to make faster, insight-driven decisions. 1

Improve officer safety by increasing their situational awareness

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Identify suspects anywhere, anytime through video and audio data

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Rapidly locate persons of interest

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Uncover hidden patterns and clues that generate leads

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Predict criminal activity to proactively deploy limited resources

But agencies are already producing large amounts of evidence data and are challenged to use it in a timely and cost effective way.

Increasing number of data sources

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Photographs

Dash Cams

Documents

Handheld Devices

Audio Recordings

CCTV

Forensic Analysis

Other Surveillance

Forms & Reports

Body Worn Cameras

Individual files are getting bigger

12MB  5MB

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2MB  Image Sizes: Megabytes

ULTRAHD 8GB HD 4GB

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1GB Video Sizes: Gigabytes

Managing digital evidence today requires a new approach. To find the crucial clues lurking below the surface across all evidence sources, agencies need more powerful tools. All this data contains insights that save lives

Computer Aided Dispatch

Citizen Camera Video

Records Management System

Dash Cam Video

Body Worn Camera

Social Media & Open Source

Surveillance Camera Video

Investigation Intelligence & Forensics

Live and Recorded Audio

Sensors

Traditional methods are no longer sufficient. So how can law enforcement get the most value out of all their digital evidence data?

Improve officer safety: Eliminate surprises when responding to incidents

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We are swimming in data. The trend we’ve seen is how to better access and understand that data. Using better information to provide for officer safety is paramount. If we can’t provide for our own safety, we can’t provide safety for our citizens either.

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- Tim Heroff, Captain, Retired Captain, Rochester Police Department

Limit the unknowns:

arm officers with a full range of real-time situational insights in the field so they make better, more appropriate decisions • Centralize evidence data sources – across agencies – for a common operating picture • Warn of past violence or drug presences at a location • Determine immediately if a person has warrants or if they are on parole • Conduct a quick analytical deep dive into anyone associated with a vehicle

A.I. in Action 1

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Alert officers to potential risks before they engage a suspect: Artificial intelligence can piece together massive amounts of data from disparate agencies to provide officers crucial insights before they arrive at a scene.

Rochester Police Department improved officers’ situational awareness and safety When police officers pull over a vehicle, they often have no way of knowing the risks posed by its occupants. Using identity insights, mobile apps, and video analytics for body-worn cameras, Rochester deployed analytics to prevent crime, support their community, and put powerful entity resolution capabilities into patrol officers’ hands. Officers are alerted if a vehicle is directly or indirectly connected to known high-risk offenders within 5 to 10 seconds, helping them make smarter decisions.

5 to 10 seconds to alert officers of high-risk offenders

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Find insights from audio and video data

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The question for most police departments today is no longer whether they want body cameras. Instead, it’s how they can manage all the data they’ll generate. - Time Magazine

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Anywhere and anytime identification:

Analyze vast amounts of video and audio data to open a whole new world of insights • Search all video sources – such as fixed, BWC, phone videos, or dash cams • Find people, vehicles, or objects based on attributes like hair color or clothing • Analyze and summarize motion and activities to reveal patterns • Identify individuals through facial and tattoo recognition

A.I. in Action 1

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Search for specific phrases in recorded audio with natural language processing or monitor the tone of voice on police radios to prevent incidents.

U.S. Police Departments can consolidate audio and video data from wearable devices for real-time insights They need to reveal actionable insights from disparate structured and unstructured data. And adhere to statutory compliance while reducing the costs of data storage and automatically redacting Personal Identifiable Information (PII). This will ultimately increase the effectiveness of investigations and collaboration between all stakeholders in the Public Safety Lifecycle (i.e., apprehension through prosecution). They can also increase their resource and financial efficiency in response to Freedom of Information Act (FOIA) requests and decrease officer misconduct and hostile citizen interactions.

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the search for persons of interest

- Randy Hunt, LEAP Director

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Accelerate:

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The value of cognitive and A.I. technology lies not just in making us more effective but also in enabling us to do things we’ve never done before.

Quickly identify and find suspects: analyze more sources and types of data • Generate real-time alerts when there is a match via facial recognition or an attribute like hair, tattoo, clothing, etc. • Develop an accurate shortlist of suspects by analyzing past behavior • Scour social media for potential witnesses who posted at or near the crime scene • Delve deeper into suspects through not so obvious connections in their social networks

A.I. in Action 1

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Tap into unstructured data in video, audio, officer notes, dispatch systems, social media, etc. to reveal previously unnoticed clues.

LEAP's cognitive-enabled services help officers identify the probable location where a suspect might be found In the past, when officers created search warrants, they had to rely on information searchable in the department’s structured database. The Law Enforcement Analysis Portal (LEAP), composed of a coalition of U.S. law enforcement agencies, tried a new approach. Through artificial intelligence (e.g., cognitive), LEAP is now able to tap unstructured data from dispatch systems and officer notes from speeding tickets, domestic violence incidents, arrests and other interactions with the police department. In addition, the solution searches open sources, such as credit agencies, social media, and vehicle history and license plate image databases. With access to more data, officers can assemble a richer, more accurate view of where they might locate a particular individual. For example, notes from a traffic stop might indicate that a suspect is married, or a credit report could show that this person lives with an extended family member.

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that catch criminals faster and break up criminal networks

– Former Crime Analyst

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Spot patterns

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Having a dedicated environment that allowed us to analyze combined crime and open source information was the key to highlighting these and other robberies as a gang initiation ceremony.

Quickly solve crime that is increasingly interconnected, borderless, and complex. • Reveal evidence chains to solve complex cases involving opioids, trafficking, and terrorism • Remove barriers to cross-jurisdictional information sharing • Monitor violent, derogatory, or inciteful social hashtags and accounts with criminal links

A.I. in Action 1

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Help officers link unsolved and recent crimes in real time, revealing new patterns of activity. And more quickly discover investigative leads based on insights from all data sources. Generate leads with little information, such as a partial plate or limited description of the suspect.

A UK police organization prosecuted criminals using a cross-border criminal network map Working collaboratively with Romanian National Police (RNP), they investigated organized child trafficking and exploitation crimes, as well as money laundering. They collaborated with multiple jurisdictions to analyze, investigate, and prosecute crimes in cross border countries. In the end, 26 gang members were successfully charged with trafficking and exploitation of 181 children, 90 were successfully charged with human trafficking, £20 Million was recovered, and the organized crime network was successfully deconstructed.

Leverage predictive policing to reduce crime and deploy resources smarter

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The ability to target crime more proactively helps us make smarter use of our policing resources, so we can be as efficient as possible when putting people out on the street — not only to respond to crime, but also to prevent future crime from occurring.

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- Jason Schiess, Analytical Services Manager at Durham North Carolina Police Department,

Advanced police departments leverage predictive analytics • Evaluate incident patterns throughout a city to pinpoint and forecast criminal hotspots • Proactively allocate resources and effectively deploy the right personnel • Identify high risk individuals to direct investigative resources (e.g., recidivist offenders) • See trends as they form, instead of via a rear-view mirror

A.I. in Action 1

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Uncover insights buried in unstructured data to better anticipate, measure, deter, and respond to crime.

Durham Police Department found a more targeted way to pursue and convict offenders They deployed a crime-management system that centralized structured and unstructured crime data and delivered advanced and social network analytics and sophisticated visualization tools, helping analysts visualize crime data to uncover hidden networks and patterns between offenders and crimes. Using geographic information system (GIS) mapping technology and geospatial, temporal and link analytics, analysts can see crime trends and track and map offenders, helping police solve more cases and fight crime proactively.

46% reduction in violent gun crime

39% reduction in violent crime

Reduce crime in your community with IBM With IBM, law enforcement agencies can put their digital evidence to work, gleaning crucial insights that help locate criminals, prosecute offenders, and take preventive action against future crimes.

Contact your IBM representative To learn more, please visit www.ibm.com/government and follow us on Twitter @IBMindustries

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