利用计算机视觉重塑智慧城市.pdf

1、Reinventing Smart Cities with Computer VisionVaibhav GhadiokCTOHayden AIHayden AI2State of New York Bus Lanes(2020)Hayden AI3What if Buses Could Run Without Obstructions?Cloud4Context&LPR CameraAntennaJ1939Hayden Perception PlatformHayden AIPortalOn-Device Processing5Hayden AI6One Device-Multiple Us

2、e CasesBus StopDouble ParkingBike Lane Edge Processing is Critical 4 GB/hr x 10 hrs/day x 30 days=1.2 TB A unique advantageSalient Aspects7Hayden AIHuman ReviewModels in CloudEdge ProcessorHayden AI8Perception ChallengesHayden AI9License Plate?Hayden AI10Is This a Vehicle?Hayden AI11Is This a Vehicl

3、e?How Do Startups Work with Govt Agencies?12Hayden AITechnologyPerformance98.05%F1 Score(precision&recall)vs 90%FP rateCostObsessively customer focused&responsiveReferralsPilotsBusiness Model13Hayden AIRevenue modelLarge multi-year contractsHaaS Hardware as a ServiceHardware+SaaSExtremely Rich Urban

4、 Area Focused Data 15Smart City InsightsSmart City InsightsTake Aways17Hayden AIComputer Vision helps improve transit efficiency$8 ROI of“travel time and fleet saving benefits”for$1Single device-multiple use casesNon-safety critical-path to revenuePrivacy protecting by design https:/www.hayden.ai/pl

5、atform https:/www.mwcog.org/assets/1/28/10062017_-_Item_12_-_DO_NOT_PRINT_-_Bus_Lane_Enforcement_Study_Final_Report.pdfResources18Hayden AIB2B FleetsFrequency/Consistency of Data CaptureUrban Area FocusHighway/Rural Area FocusMixed Focus(Urban/Suburban/Highway)High Frequency/Consistency of RoutesLow Frequency/Inconsistency of Routes10MClass 8 TruckingRental CarFleetsRide/Car SharePostal VansAmazonFedExUPSGarbage TrucksTransit BusesPolice CarSchool BusesTaxi/CabsLocation/Type of Roadway DataStreet SweepersB2G VehiclesB2B VehiclesExtremely Rich Urban Area Focused Data <