File #: 18-413    Version: 1 Name:
Type: Agenda Item Status: Agenda Ready
File created: 4/24/2018 In control: City Council
On agenda: 6/12/2018 Final action:
Title: Request City Council to Approve Budget Resolution No. 7352 and Approve the Purchase of Twenty-Two Plate Hunter F3 Fixed License Plate Reading Systems and Two Mobile License Plate Reading Systems from Selex ES, Inc. in the Amount of $366,509.60. (ACTION)
Attachments: 1. Vendor Disclosure Form, 2. Quote - 2 Mobile LPR's, 3. Sole Source for MPH-900/Mobile LPR's, 4. Resolution, 5. Quote - 22 Fixed LPR's, 6. Sole Source for Fixed LPR's
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For City Council Meeting [June 12, 2018]
TO: Honorable Mayor and City Council
APPROVAL: Robb R. Steel, Interim City Administrator
FROM: Mark P. Kling, Interim Chief of Police

Title
Request City Council to Approve Budget Resolution No. 7352 and Approve the Purchase of Twenty-Two Plate Hunter F3 Fixed License Plate Reading Systems and Two Mobile License Plate Reading Systems from Selex ES, Inc. in the Amount of $366,509.60.
(ACTION)

Body
BACKGROUND:
Rialto Police Department is working to combat crime with the use of technology. With the installation of Automated License Plate Readers (ALPR), the City will compile data at the selected intersections throughout the City of Rialto, which will lead to the identification of criminal activity. The proposed intersections are main entrances/exits to the City of Rialto. The intersections proposed are as follows:

* Riverside Avenue / Easton Street to capture northbound and southbound traffic.
* Riverside Avenue / Valley Boulevard to capture northbound and southbound traffic.
* Linden Avenue / Foothill Boulevard to capture westbound and eastbound traffic.
* Eucalyptus Ave / Foothill Boulevard to capture westbound and eastbound traffic.

The infrastructure at the proposed intersections are City owned, eliminating the need to seek approval from an outside city or county entity.

ANALYSIS/DISCUSSION:
License plate recognition technology is rapidly gaining popularity in the United States. The systems use infrared illumination and a camera to take the image of the front or rear of a vehicle; then use sophisticated image-processing software to analyze the image and extract the plate information.
ESLAG is the world leader of License Plate Reading solutions, aiding law enforcement agencies in controlling vehicle theft and other related criminal activity. The systems allow officers to capture license plate images and instantaneously compare them with millions of records to identify vehicles of interest.
The Plate H...

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