Warning An exclamation point.

This request is permanently embargoed.

2020 Vigilant Data Sharing Information - Automated License Plate Reader (ALPR) (Bell Police Department)

Dave Maass filed this request with the Bell Police Department of Bell, CA.
Multi Request 2020 Vigilant Data Sharing Information - Automated License Plate Reader (ALPR)
Status
Completed

Communications

From: Dave Maass


To Whom It May Concern:

Pursuant to the California Public Records Act, I hereby request the following records:

Part A: Information related to Automated License Plate Reader (ALPR) data sharing.

1) The names of agencies and organizations with which the Agency shares ALPR data;
2) The names of agencies and organizations from which the Agency receives ALPR data;
3) The names of agencies and organizations with which the Agency shares “hot list” information;
4) The names of agencies and organizations from which the Agency receives “hot list” information;

Part B: Information Related to Numbers of “Detections” (plate scans) and “Hits” (plate scans that matched to a hotlist)

5) The aggregate number of detections collected during 2018;
6) The aggregate number of “hits” during 2018;
7) The aggregate number of detections collected during 2019;
8) The aggregate number of “hits” during 2019.

Approximately two years ago your agency provided the equivalent information in response to a records request. You can view your agency’s previous release here:
https://www.eff.org/pages/explore-alpr

For items 1-4: This information is easily available within the Agency’s Vigilant Solutions LEARN system. The simplest way to extract this data is to generate an “Agency Data Sharing Report” PDF file from within LEARN. To do this, a user may simply go to the “Sharing” section of LEARN and select “Output Report.” A CSV/XLS file containing these records would also satisfy this request.
The instructions for extracting this data is described on pages 62-63 of the LEARN Agency Manager Guide, which may be found at this link:
https://www.documentcloud.org/documents/3860685-LEARN-5-1-Agency-Manager-Guide.html

For items 5-8: This information is easily available within the Agency’s Vigilant Solutions LEARN system. The simplest way to extract this data is to generate a “Dashboard Hit Ratio Report” PDF file from within LEARN. We would prefer the data for each year to be provided separately.

The instructions for extracting this data is described on pages 78-79 of the LEARN Agency Manager Guide, which may be found at this link:
https://www.documentcloud.org/documents/3860685-LEARN-5-1-Agency-Manager-Guide.html

The requested documents will be made available to the general public, and this request is not being made for commercial purposes.

In the event that there are fees, I would be grateful if you would inform me of the total charges in advance of fulfilling my request. I would prefer the request filled electronically, by e-mail attachment if available or CD-ROM if not.

Thank you in advance for your anticipated cooperation in this matter. I look forward to receiving your response to this request within 10 calendar days, as the statute requires.

Sincerely,

Dave Maass

From: Bell Police Department

Good Afternoon,

Attached is a copy of your electronic Public Records Act request forwarded to our department on March 4, 2020. The Bell Police Department Public Records Act response letter and additionally three attachments which contain all responsive data to your request.

If you would like an original copy of the response letter and the responsive data or If you have any questions, feel free to contact me at your convenience.

Respectfully Submitted,

Esbeyda Pimentel
Police Records Supervisor
Bell Police Department
6326 Pine Avenue
Bell CA 90201
323-923-1564

Files

pages

Close
  • 03/11/2020

    5 LEARN_DB_Hit_Ratio_Report_Pie_03-11-20_03-11-20

  • 03/11/2020

    7 LEARN_DB_Hit_Ratio_Report_Pie_03-11-20_03-11-20

  • 03/11/2020

    PRA Response for ALPR Data 2018-2019 (Muck RocK News)

  • 03/11/2020

    Bell Police Department_Data_Sharing_Report_03-11-20

  • 03/11/2020

    Mock Rock News ALPR Data 2018-2019 Request