Loading Project Media
(Overview)
Anintelligentreal-timevideosurveillanceandthreatdetectionsystemengineeredtoenhancesafetyinpublicspacesandcampusenvironmentsbyanalyzingCCTVfeeds,humanmovementdynamics,andgestureanomalies.
(Architecture)
Thesystemprocessesvideofeedsthroughamulti-stagecomputervisionpipeline:YOLOv8n-poseextractshumanskeletonkeypoints,apedestriantrackingengineassignsconsistentIDsacrossframes,andatrainedgestureclassifierevaluatesmotiondynamics.
(Engineering)
BuiltusingPythonandOpenCVwithoptimizedinferenceloops.Thepipelinedistinguishesnormalmotionfromdistressgestures,evaluatesthreatconfidencelevels,andtriggersimmediateautomatedalertprotocolswithcapturedframes.
- 01
Implementedthereal-timeposeestimationandkeypointextractionpipelineusingYOLOv8n-pose.
- 02
Trainedgestureclassificationmodelstoidentifyanomalousmovementpatternsanddistresssignals.
- 03
Builtmulti-personpedestriantrackingtomaintainconsistentidentitytrackingacrossCCTVframes.
- 04
Engineeredautomatedalerttriggeringwithtimestampedincidentframecapture.
Built with
PythonOpenCVYOLOv8-PoseScikit-LearnPedestrian TrackingComputer Vision
Explore this project
Inspect the live deployment or browse the repository code.
Haveaprojectinmind?
praveenlk41@gmail.com