Agmt26 Ensight Technologies, LLC - PARCS System

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REV: 01-05-26 LR from Cambridge University in England. Sunil will lead all software deployment and be responsible for any additional integrations that may be layered on the base system deployment. III. EnSight LPR Overview EnSight is the current APGS provider for the City and would be adding their EnSight Plates cameras and software module to the three garages to be the starting point to inventory parkers for the gateless revenue solution. The new cameras will be wired and integrated into EnSight's current infrastructure on-site. Upgraded network switches and vision processing units will be racked in the parking office (Jefferson) and MDF (Marshall). Existing Guidance Solution (cameras, signs and, software) will continue to run on the current Vision Processing Unit while the static EnSight Plate cameras are being installed. The Guidance system will be mirrored on the upgraded server. Once the EnSight Plates system is configured and tested, the new server will be the production machine. The current EnSight Level Count cameras will remain as is. EnSight Vision Processing unit runs Windows 11 LTSC. At the center of the ecosystem is software that communicates to the local site to pull data from all hardware and API integrations. This data is compiled into a centralized, online cloud management portal called EnSightful. LPR plate data will be visualized from the same EnSightful portal the City uses today. The EnSight Ecosystem starts with a headend server located in the garage that runs the EnSight Parking Intelligence Controller ("EPIC") software to connect to all hardware devices on-site: cameras and signs. The EPIC runs the video feed(s) for the configured cameras through EnSight’s Fluid Learning Intelligence ("FLI") engine and EnSight Plates ("EP"), if selected. FLI will do all processing needed to detect and count cars and moving objects that enter or exit through the defined field of view. EP will scan license plates. EPIC detects applicable counts and EP reads from the cameras, logs the event and images, then adjusts the counts on all configured LED signs. The data is stored, and results are pushed to the EnSightful Portal on AWS. EnSightful will receive data from the server located on-site via a network connection with simple internet access. The LPR plate data will be sent to Flowbird to reconcile paid parker sessions with LPR inventory. Flowbird will be the center of the business logic for paid and unpaid parkers. Flowbird will then share the parking sessions with OmniQ mobile LPR for mobile enforcement. If the mobile LPR flags an unpaid plate or expired session, this data will be sent to TurboData for enforcement. The full process will be: EnSight Entry/Exit LPR Cameras will send plate information to Omniq, Omniq will additionally pull Payments (via Existing API) for Pay on Foot Kiosks, Mobile PaybyPhone Payments, and App Payments for Plate session information from Flowbird as well for Omniq Enforcement review. Omniq will then determine the enforcement actions and send potential violation information over to TurboData for the physical citation. IV. EnSight Plates Detail ATTY/AGR.2026.001/EnSight Technologies (Parking Access and Revenue Control System (PARCS)) (Page 142 of 167)