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6.E. - Page 126 of 272 <br />c. APGS Software Application and Versions <br />Cleverciti Software <br />Cleverciti's software suite begins with the ClevercitiSensor, which gathers parking data. As an optical sensor, it uses <br />advanced deep learning Al to identify if a parking space is available or occupied. The sensors leverage edge computing, <br />performing all optical processing onboard. Each sensor in Cleverciti's global network is automatically upgraded as the <br />other sensors in the network learn from their environment. In this way, the entire network is constantly learning and <br />improving over time. The entire global sensor network runs the latest software as a virtual cloud. <br />Each Cleverciti device connects to the Cleverciti cloud backend (or if a local server option is purchased, the devices <br />communicate to the local server, and the local server acts as a local cloud). The cloud backend processes the data <br />from the ClevercitiSensor, applies the guidance algorithms that have been defined in the ClevercitiCockpit, and <br />publishes guidance data to the wayfinding signs (ClevercitiSign and ClevercitiCirc360), as well as stand-alone or <br />integrated web apps. The backend is a frequently updated modern cloud application. <br />Cleve rcitiCockpit is the web -based management, dashboard, and reporting application which provides live data about <br />current parking occupancy and offers historic reporting and heatmap generation. This software runs in the cloud and <br />is a frequently updated modern cloud application. <br />EnSight Software <br />At the center of the EnSight Ecosystem is their intelligent software that communicates to the local site to pull data <br />from all of the hardware and API integrations. This data is compiled into a centralized, online cloud management portal <br />called EnSightful. The parking guidance Ecosystem starts with a site server that employs an aggregator software to <br />connect to all hardware devices on-site. The aggregator runs the video feed for the configured cameras through <br />EnSight's FLI engine which runs on the same server. FLI will do all processing needed to detect and count cars and <br />moving objects that enter or exit through the defined field of view. The aggregator detects applicable counts from <br />cameras and sensors, logs the event and images, then adjusts the counts on all configured LED signs. The data is <br />stored, and results are pushed to the EnSightful Portal run on the Azure cloud. The EnSight system is currently running <br />on version three of the EnSightful software. <br />d. APGS Standard Report Samples and Screenshots <br />Cleverciti will meet the reporting requirements as outlined in section 2.1.1 Reporting of the RFP specification document. <br />We have also provided the following visualizations of reporting enhancements available in the Cleverciti and EnSight <br />systems. Reports are available through both systems; however, all space count data will be consolidated into the <br />Cleve rcitiCockpit for spaces managed by the City of Redwood City including on -street, surface lots, and parking <br />garages. <br />Redwoo <br />City Cal® ." <br />Copyright 02020 Cleverciti Systems GmbH. Information contained in this document is confidential and proprietary. <br />E <br />