Theft Case
An investigator had a theft case where the victim met the suspect for a date. When she went to the restroom, he stole her wallet. The only thing she knew about him was his first name. She had downloaded a picture of him on her phone. The Lumen facial recognition identified a high-probability candidate from the CISC mug shot database, returning both identity information and extensive arrest information. The detective used the application’s photo lineup feature, showed it to the victim and she recognized the identified candidate immediately. The investigator filed the case rather than inactivating it for lack of information as he might have normally. Charges are pending.
—Arapahoe County Sheriff's Office
Denver PD Shooting suspect
On October 17, 2018, a suspect identified by a witness as a tattoo artist and recently-released inmate, known only by the monikers “Dough Boy” or “Dough Blow,” shot and seriously injured another person. Using information developed through a bulletin and photos from social media posts made by the suspect, the agency facial recognition application returned a high-probability candidate from the CISC mug shot database. Further investigation revealed a high-probability candidate that the continuing investigation confirmed as the suspect in the shooting. The investigation continues.
—Arapahoe County Sheriff's Office
Credit Card Fraud
An unknown female pictured in surveillance photos entered a costume store attempting to purchase multiple wigs with a credit card that was stolen from a vehicle earlier in the day. The transactions could not be completed as the cardholder had already canceled the stolen cards. At this time, it is unknown whether the pictured female was also involved in the vehicle trespass. The female was described as having a heavier-set build and dark, shoulder length hair. Checking the surveillance photos with the Lumen application against the CISC mug shot database revealed the identity of a high-probability candidate now under investigation.
—Arapahoe County Sheriff's Office
Costco fraud
On or around 03/05/18, investigators received an information bulletin regarding a male and female suspect who opened a membership at Costco. The case was Fraud-Counterfeit Travelers Checks $5,000-$20,000 in different jurisdictions. After utilizing the Numeric Lumen facial recognition application with the new member photos, the investigator was able to locate and confirm the identity of both suspects in the CISC mug shot database. Charges are pending.
—Arapahoe County Sheriff's Office
Home Depot fraud/theft
Around April 13, 2018, investigators received an Asset Protection Alert from a local Home Depot not in their jurisdiction. The suspects in these cases have stolen over $5,000.00 in tools from Home Depot stores in nine separate cases and five different stores.
The investigator used the Lumen facial recognition application to compare surveillance photos of the suspect with photos from the CISC mug shot database. The application returned a high-probability candidate now under intense investigation by Home Depot retail crime investigators and local authorities. Charges are pending.
—Arapahoe County Sheriff's Office
Another Home Depot fraud
On 06/20/18, investigators received a bulletin advising that a suspect had committed two high dollar thefts at The Home Depot in Glendale, CO. The suspect was targeting Milwaukee power tools. Total loss for the two cases was $1,097.00. Again, surveillance photographs were entered into the Lumen facial recognition application used to search the CISC mug shot database. The application identified two high-probability candidates that additional investigation confirmed were the involved suspects and resulted in recovery of the stolen tools and pending charges against the suspects.
—Arapahoe County Sheriff's Office
Detectives used Lumen's facial recognition application to identify a male who robbed Wal-Mart and then committed an armed burg/kidnapping of an elderly woman.
Detectives also just used Lumen on a series of shoplifts at Target to identify the suspect.
—Trinidad PD
On February 16th, Trinidad PD officers asked for assistance from the Brighton PD regarding a homicide investigation. They sought the girlfriend of the arrested suspect as an accomplice to the crime. The only information available was the woman’s first name, the color and make of her car, and that she lived in Brighton. In-house records revealed nothing. Brighton PD Detective Arehart obtained the suspect’s name and began searching the CISC database with Lumen's crime analysis product. Within 17 minutes, Detective Arehart had the full, correct name and address of the girlfriend along with other identifying data. The Detective also found another possible accomplice (along with all their information) and complete information on the suspect as well. The team at Trinidad PD was impressed with the professionalism of the Brighton staff, with Lumen, and with the very helpful, speedy response and accuracy of the CISC-shared data!
—Trinidad PD
Brighton Police Department
So the robbery at Sonic?... Acker did a composite sketch of the suspect?... and due to Lumen, I was able to match the suspect via mugshots in Lumen… to the same suspect an officer contacted the next day and also that he has history of marijuana usage in South Denver… Wouldn’t have been able to do that without Lumen…
—Gail Ashley Brighton PD Crime Analyst
I wanted to tell you that I love Lumen. I’ve solved my 3rd Hit and Run Crash tonight that had been open for a while. I decided to use Lumen again and BAM!!! The information from my suspect popped up with a phone number and matching address. I called her and she admitted to the crash. I freaking love Lumen. I used CopLink a lot but this Lumen is so flipping awesome!!!
—Cpl. N. Struck Crash Investigator/Patrol
Armed Robbery
The investigation revealed that the suspect in this case was known by a unique alias on social media. The case detective accessed the social media platform and found the suspect’s username and profile. He copy and pasted a photo of the suspect into the Lumen facial recognition application that searched the CISC mug shot database. The application responded with an immediate high-probability candidate that looked just like the suspect. Although this person was named in the report as the suspect, there is as yet insufficient evidence to make an arrest.
—Aurora PD – 2018- Additional Facial Recognition Success Stories
Aggravated Assault with a weapon
The investigation revealed that a passenger and possibly the shooter in this case had an alias social media name. A detective accessed social media and found the suspect’s username and profile. He copied a picture of the suspect and placed it into the Lumen facial recognition application that searched the CISC mug shot database. The application responded with a high-probability candidate that visually appeared to be the same person. Although investigation confirmed the suspect and person in the database were the same person and that he was in the suspect vehicle at the time the shooting occurred, there is as yet insufficient evidence to make an arrest.
—Aurora PD – 2018- Additional Facial Recognition Success Stories
An Aurora PD detective had a garage burglary case where with no suspects at all. He was able to find a gas station video depicting use of a stolen credit card from the burglary. From that video he was able to use the Lumen facial recognition application to return a high-probability match on a leg tattoo associated with a female in the CISC mug shot database. That match led to a comparison of the faces in the surveillance video and booking photos and a determination there was a match. The detective was unable to charge the female suspect with the Burglary but was able to charge her with ID theft.
—Aurora PD – 2018- Additional Facial Recognition Success Stories
An Aurora PD detective had a case in July in which a male stole construction items from a construction site and placed the items for sale on Facebook. The victim was able to find his items on the suspect’s Facebook page but the suspect only used his street name on his Facebook site. The detective noticed a photo of the suspect showed he had the name “Bryan” tattooed on his chest.
The detective took one of the photos from the suspect’s Facebook page and used the Lumen facial recognition application to see if there was a match in the CISC mug shot database. Within seconds, he had a high-probability match which led to his being able to positively identify the male and charge him with theft. (The detective could not prove the suspect had committed the burglary as he stated that he got the items from a “friend,” but knew they were probably stolen).
—Aurora PD – 2018- Additional Facial Recognition Success Stories
On 9/28/18, detectives with the Aurora Police Department (APD) Internet Crimes Against Children (ICAC) Unit coordinated with the APD Fugitive Apprehension and Surveillance Team (FAST) and Colorado Department of Corrections (DOC) Parole to arrest a 32-year-old male for Internet Luring of a Child and Internet Sexual Exploitation of a Child. The suspect’s sexually explicit communication with a 14-year-old girl came to light after the girl’s father found the conversations, took her phone away, and surrendered it to police for forensic extraction. Analysis of the girl’s cell phone contents revealed that she provided a suspect with her actual age, and yet he repeatedly attempted to convince her to meet him for sexual purposes. The suspect also sent the girl numerous nude selfies and a video depicting sexual activity. One of those selfies sent by the suspect was uploaded to the Lumen facial recognition application. Investigation confirmed the first candidate returned from the CISC mug shot database was the suspect, a registered sex offender who had recently been released on parole from prison after serving 13 years for the violent sexual and physical assaults of an 11-year-old girl in his basement, and a 10-year-old girl on a public playground. Following his arrest, the suspect admitted to communicating with the 14-year-old girl, as well as sending her nude images and a sexual video, but claimed that she initially told him that she was 19-years old, so he didn’t know which age to believe. The suspect has been charged and is awaiting further proceedings.
—Aurora PD – 2018- Additional Facial Recognition Success Stories
A case involving Criminal Trespass to a vehicle and theft of several items from inside, including a checkbook; a very difficult and seldom solved case. A female suspect cashed one of the stolen checks at a local Bank with an ID. Detectives obtained photographs of the woman from the bank security system. They interviewed a woman whose name was used by the suspect and found she was NOT involved nor did she look like the suspect. The case detective asked crime analysts to send out a notice to local agencies for assistance. First, crime analysts ran the bank photographs through the Lumen facial recognition application which compared the person in the bank photographs with the persons in the CISC booking photo database.
The application developed several candidates including a high probability match. Further investigation confirmed this person as the suspect in this case matching a facial scar, the style of glasses, locations of tattoos and general appearance to the person in the bank photos, eliminating the need to circulate a local notice. Arrest warrants are now in process.
—Colorado Springs PDJuly - 2018
See Criminal Mischief 17-39394. Road rage case. Suspect vehicle listed to Blackhawk, CO. Owner had multiple mugshots in LUMEN. There were issues with making the photo lineup, but once I finally manipulated the system enough (it didn’t want to give me the most recent mugshot but I found a workaround), I was able to make a photo lineup where the victim identified the suspect.
It also listed 3 potential phone numbers for the suspect. The first 2 were disconnected, but the 3rd was my suspect.
—Officer Richard W. Hunt
Over the past year, we (2A Florence) have had a suspect involved in multiple eluding cases. We were able to identify the vehicles but never the driver. On 09/18/24, I responded to a REDDI (Report Every Druk Driver Immediately) in which the involved vehicle was one of the suspect vehicles we've identified. I attempted yet again to stop the vehicle, and to no surprise, the vehicle eluded me. With information from the REDDI, I got a video of the vehicle and driver at a local gas station but was not able to fully identify the driver due to camera angles and the suspect wearing a hat. After speaking with the registered owner of the vehicle, I was able to get the suspect's name but nothing else. I used the Accurint Virtual Crime Center app (AVCC) to identify the suspect, including prior jail booking photos and reports, which provided information, including identifying tattoos, which I could identify in the video footage from the gas station. I was also able to get his current address and associated addresses, which provided insight into where our suspect was always going when he eluded us.
Ultimately with the information I got from AVCC and the gas station video footage, I was able to secure an arrest warrant for felony charges for our suspect in probably more than a dozen eluding/reckless driving incidents.
AVCC has quickly become a valuable resource that I use frequently.
In April of 2018, Edgewater PD (Colorado) had a shooting death resulting from an attempted random street robbery and at the onset of the investigation EPD had no suspect information or leads. From leads developed through hard work, detectives identified a suspect vehicle which was impounded. A receipt to a 7-Eleven was found in the vehicle and from that store detectives recovered grainy footage of the suspects inside the store approximately one hour after the homicide. Three of the four parties seen in the video were identified by traditional means and subsequently arrested.
A fourth suspect/witness was seen in the videos but detectives were unable to identify her. With Wheat Ridge PD’s help, detectives used Lumen's facial recognition program to identify and locate this female who provided vital information regarding the case.
—Edgewater PD
062024
Elizabeth PD investigated a death occurring after an assault at a nursing home. The Chief informed the case agent to search CISC data using the Accurint Virtual Crime Center (AVCC) app to see if there was any available information on the subject of the investigation. Information was found and researched. The results received helped develop investigative leads and is helping EPD locate a picture of the subject. Ultimately, the case may go nowhere, but access to this database helped with providing investigative leads in support of the case. June 20, 2024 – Chief Jeffery Engel
092624
EPD responded to a shooting on Sept. 16, 2024. We did not have photos of suspects. We reached out to the Division of Motor Vehicles (DMV) and obtained a photo array that could not meet the need. Officers use the AVCC app, located photographs, and developed an effective photo line-up. Without access to AVCC, EPD would have required assistance from of other agencies to accomplish the task. As a small agency, access to shared CISC data using the AVCC feature has proven invaluable.
092624
EPD is investigating a felony fraud and identity theft. The suspect stole the social security number of the victim and signed up for cable services in Texas. Using the AVCC app, we were able to locate an address, photo, and other information for a request to obtain records from the cable service company. Results are pending. Without Accurint and the CISC, EPD would not have been able to locate an address or other identifying information on the suspect.
Additional Information:
What I can say is that officers are using the AVCC app on a daily basis and the information shared there is giving officers actionable information to further investigations.
Yesterday, 11/3/18, I went to Walmart for a shoplifting complaint. I detained a male suspect who identified himself verbally and did not have picture ID. I started a summons to release him and once I got a clearance back from dispatch he had no-record, so I began digging further. The suspect was given a chance to identify himself properly but stuck with the same identity providing the same detail. Neither my partner nor I had a Morphodent fingerprint scanner so I used the Lumen Facial Recognition software on my cell phone. The suspect's true identity was discovered with the first suggested identity in Lumen. A clearance using the true identity was completed and the suspect was found to have three active arrest warrants; a felony fraud nationwide extradition, a misdemeanor theft, and a domestic violence assault with a no bond hold. The suspect was then jailed for his warrants and an additional charge was added for lying about his identity.
Overall, the facial recognition was extremely fast and accurate in identifying his true ID.
—Chad Lucero, Agent, Patrol Division
Aug 18, 2018
On 081318, a Lakewood PD Agent contacted a suspicious male for trespassing at an abandoned local property. The suspect provided two false names, both of which returned “no record” on the State computer system. Due to his lack of compliance the Agent took a cellphone photo of the person’s face and used the Lumen facial recognition application in an attempt to identify him from the CISC mug shot database. The Agent received an immediate response with the suspect’s true identity, which the suspect then confirmed verbally. The suspect was arrested and lodged at the County jail on multiple charges to include false reporting and possession of drug paraphernalia.
From the Agent: “I am extremely thankful that I have the ability to utilize the functions of Lumen as it is a very helpful tool which I use nearly every day, if not multiple times a day on patrol.
—Aug 2018
June 25, 2018
A suspect attempted to steal $40 worth of clothing from a Kohl’s. When the store’s Loss Prevention team attempted to contact her she fled to a waiting vehicle, dropping the stolen property as she fled. From a surveillance video, Lakewood PD agents obtained an image of the suspect. The agents used the Lumen facial recognition application to see if they could identify the suspect from a search of the CISC mug shot database. The application identified a high-probability candidate who was later confirmed as the suspect through additional investigation. She was eventually charged with shoplifting.
From the report: July 2018 – A Detective asked the crime analyst to assist him in identifying the suspect in this case using a surveillance photo. Using the Lumen facial recognition application and the CISC mug shot database, the analyst searched for possible subjects that matched the suspect in the surveillance photo. The analyst used three different criteria to eventually identify one high-probability candidate. First: the candidate and suspect were visually very similar. Second: both suspect and candidate shared a matching tattoo on the chest, in the same place on the chest. Third: the person in the mug shot was engaged in multiple similar crimes committed throughout the Denver metropolitan area.
—June
The suspect got into a verbal confrontation with a victim after the victim asked the suspect to turn down the music in his car. The suspect was challenging the victim to a fight when he pulled out a gun from his vehicle and pointed it at the victim from about 15 feet away. A bystander saw what was going on and took a picture of the suspect with a cell phone. Based on that photo, a Lakewood PD crime analyst was able to find (and investigation later confirmed) a possible match using the Lumen facial recognition application on the CISC mug shot database.
—June 2018
(Recently) I was unable to get a record back for the victim who had provided a fake name. The SSN he gave was to a dead man out of New Mexico. I spent approximately two hours searching through iLeads and public records databases available to me. I was unable to determine the males true identity. Detective Feik heard of my plight and offered to search Lumen for me. I do not currently have access nor am trained on Lumen.
Detective Feik had identified my victim within about five minutes. I was shocked and very thankful for the powerful search powers of Lumen.
Thanks
—Detective Sarah Poellot
Lakewood (CO) Police Department use LInX to identify a domestic violent suspect
The detective was able to find a booking photo and get positive identification for the suspect. By obtaining a photo from LInX it allowed further investigation and ultimately the detective obtained a separate booking photo for positive identification. An arrest warrant was ultimately obtained and there is currently an active warrant for the suspect’s arrest. Records from San Bernadino County (CA) were used.
Aspen (CO) Police Department uses name on credit card receipt to identify and locate assault causing serious bodily injury suspect leading to arrest
During an assault investigation, officers retained a credit card receipt from the suspect's friend. I ran the suspect's friend's (person of interest - POI) name through the LInX database and found over two dozen matches. I used the LInX search features to narrow down my search parameters (ethnicity, age, hair color, etc.) and found eight matches. Through those eight matches, I was able to contact the POI that was with the suspect in this case - POI lived in Washington. The POI provided me with the suspect's name and phone number. This led to a full confession by the suspect, who was subsequently arrested for 2nd assault - causing serious bodily injury - Class 4 Felony. The suspect lived in Texas. Records from multiple jurisdictions were used.
Larimar County (CO) SO Gained armed and dangerous intel on a serial auto-theft
During February of 2023, Larimer County experienced an uptick in motor vehicle theft that was linked to one individual. That individual stole at least 10 cars in a week, burglarized multiple homes, and was involved in several dangerous pursuits. Information from Scotts Bluff, Nebraska (obtained through NCIC) and Jacksonville, Florida (obtained through LInX) showed us the suspect had a history of crimes against persons and had recently been in possession of firearms. This information justified the use of additional resources (members of the All Hazards/Crisis Response Team, and Strategic Enforcement Unit) in tracking and attempting to apprehend the suspect. Unfortunately, the suspect was found deceased, having been murdered about an hour away from our jurisdiction, while we were still trying to find him. Without LInX, we would not have had additional intelligence related to the suspect's history, or his familiarity and access to firearms.
Aspen (CO) Police Department uses booking photos to assist in identifying suspect in $200k fraus/theft
The LInX database assisted the Aspen (CO)Police Department with positively identifying a suspect in a fraud/theft case of over $200k. The Colorado Bureau of Investigations (CBI) assisted in a facial recognition request which led to a positive match. I ran the name through the LInX database and found multiple active warrants for our suspect, which included multiple booking photos from agencies nationwide which assisted in positively identifying our suspect. There is currently an active warrant for our suspects arrest in this case. Records from the following jurisdictions were used: Greenwich (CT) Police Dept. U.S. Postal Inspection Service Westport, CT; Chester (SC) Police Dept., Marshals Office - Denver, CO.
Denver (CO) Police Department finds valuable applicant info in military police records
DPD reported running an LE agency applicant in LInX and discovered he was a suspect in a sexual assault case investigated by a military police agency. The user also mentioned that the person had a very specific tattoo and also identified the specific barracks he lived in. The applicant was not charged in that military case due to insufficient evidence, but DPD noted he should have reported it as a police contact. The LInX user wrote “Thank you LInX! Great Resource!”
Mesa County (CO) Sheriff's matches tattoo info from LInX to assist officers running drug interdiction
Officers with the WCDTF attempted to stop a male who was suspected of being connected to drug trafficking. The male ran but was ultimately caught. Once in custody, officers on scene were unable to verify the identity of the male, due to no local pictures or ID on him. Through CA records in this system, I was able to find jackets that described his tattoos, which were confirmed on him, confirming his identity.
Telluride (CO) Marshals uses LInX to confirm identity of suspect
An officer responded to a domestic violence call. After running the subject, he came back with a possible warrant. The suspect denied he was that person. Dispatch was unable to 100 percent verify but we had enough to make an arrest. After the arrest, the officer ran that subject thru LInX and found previous reports with his information. We were able to confirm this was the same subject who had the outstanding warrants.
Colorado 1st Judicial District attorney's office (CO1JDAO) investigator sues Linx to find homeless victim in Florida to pursue felony assault charges
him. CO1JDAO Investigators placed a watch on him in LInX and he was contacted in Florida which gave them a phone number. They were able to keep in touch with him after that and obtain additional information to make the misdemeanor assault into a felony assault. The defendant, a previous felon in possession of guns and drugs, pled guilty and was sentenced to 4 years. A Florida agency’s data was helpful in the case.
NC Fugitive located with help from LInX and Denver, CO Police Department
Crime Type: Assault
While working a fugitive investigation, a phone number connected to the fugitive was developed. Through LInX and data provided by Denver, Colorado Police Department, the subscriber of the number was identified. This information ultimately lead to an address where the fugitive was taken into custody.
24-11175 - Inv. Page and Inv. Holdren assisted Investigations and the Palisade PD with a fire (arson) that occurred at 920 Iowa Avenue. Inv. Page began trying to contact the resident of where they believed the fire had started. Inv. Page was able to research and located phone number for family members of the subject. During his conversations with him, he learned that the subject had an Instagram account. Inv. Holdren was able to locate the Instagram page. In the page, the subject had recently made videos talking about the fire and why he did it. Inv. Holdren continually monitored the videos. While doing this Inv. Page was able to request an emergency ping of the subject's phone. The phone was pinging in the area of Eagle and Lake County. Inv. Page was able to contact the agencies and advise them of the subject's possible location. Due to time delays between phone calls, they requested the agencies use a Mac Channel and were able to give them real-time updates. The subject was eventually located in Lake County with a self-inflicted gunshot wound. Inv. Page and Holdren were able to locate key evidence in this case and also were able to quickly locate the subject.
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Sgt. Thomas T. Stuckenschneider #2258
Intel Unit
SWAT / FIREARMS
Mesa County Sheriff's Office
215 Rice St., Grand Junction, CO 81501