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Keep your eyes on the street while driving. This app alerts drowsy and distracted car drivers using face detection with camera. eyes2drive comes with an Apple Watch extension to show your trip events, to be able to start and stop your trip with via the Watch and most important get a Notification if a RED alert (long distraction) occured. eyes2drive is using state-of-the-art face detection algorithms using OpenCV algorithms to detect the face, eyes closing and head distraction.

Objective-C 2.23% Objective-C++ 1.32% Java 2.79% C 56.54% Pascal 2.38% Visual Basic 2.16% C# 1.55% C++ 29.91% Batchfile 0.01% Swift 1.03% Ruby 0.01% Shell 0.08% GLSL 0.01%

focusdays2015-eyes2drive's People

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antlie avatar danielstettler avatar hd8447 avatar lolo8304 avatar rschumm avatar

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chiragzap liwanli1202 543r1 baksosapi mnasirkhan sathishmscict xchinjo vishnuanand mohamedgou eis6aer shreesurya sritipraz gaullebr2 mohammadjbyaseen trobax mazenjels xiaolaozai zugarzeeker sarashafie1991 drabdkadir nasirmgcc danielgssp sajib-hassan webstorage119

focusdays2015-eyes2drive's Issues

debug for sample /liveRecognition

Hi,
sample /liveRecognition:
Debug to "FSDK_SetVideoFormat(CameraList[0], VideoFormatList[VideoFormat]);" ocrrur
error:"0x77100d72 "there are no processed exceptions: 0xC0000005: when it writed id 0x00000004 access conflict

communication issue btw watch kit ext and watch App

see Code GlanceController.swift

func updateGlance() {
        NSLog("update glance data")
        let applicationData = ["glanceValues":"yes"]
        session.sendMessage(applicationData, replyHandler: {(reply: [String : AnyObject]) -> Void in
....
        }

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