RotativeRoboticArmforIntelligentFace Tracking

dc.contributor.authorTagabouDoua
dc.contributor.authorsupervised by dr : KhelifiRamzi
dc.date.accessioned2026-09-23T09:37:10Z
dc.date.available2026-09-23T09:37:10Z
dc.date.issued2026-09-23
dc.descriptionKeywords:ComputerVision,FaceTracking,HeadPoseEstimation,GimbalMechanism, Ministerial Decision No. 1275, TeleGimbal Startup.
dc.description.abstractTeleGimbalisanintelligent rotatingroboticarm powered byartificial intelligenceforfacetracking. Thesystemaimstosolvetheproblemoftargetlosscausedbythecontinuousmovementofspeakers inside lecture halls, where fixed cameras or human operators often fail to track movement reliably and cost-effectively. The system relies on computer vision algorithms using the OpenCV library, where faces are detected using the YuNet model and recognized using the SFace model. Based on the visual coordinatesobtainedfromimageprocessing,thesystemsendsreal-timecontrolcommandsthrough an Arduino UNO microcontroller to drive the Pan rotation axis and the Tilt axis using NEMA 17 stepper motors controlled by A4988 drivers with 1/16 microstepping enabled, providing smooth, silent, and vibration-free motion. Five major engineering challenges were documented and addressed: audio resonance, solved through microstepping activation; overshoot caused by artificial intelligence processing, solved by applyinga50-pixeltolerancethresholdandlimitingspeed;mechanicalvibration,solvedbyphysical adjustmentsand increasingthemountingheight;target loss,solvedthrough asafetymechanism that immediately sends a stop command; and stepper motor overheating, solved by adjusting the VREF value to 0.8 volts. Experimentalresultsdemonstratedhighoperationalefficiency,achievingframeratesrangingfrom 27.75to29.79framespersecond,face recognitionconfidenceexceeding0.7,responsetimesbelow 50 milliseconds, and an angle measurement accuracy reaching 92.14 degrees. From a commercial perspective, the feasibility study showed a gross profit margin of 71.6%, a break-even point at 41 units sold, and a return on investment reaching 133.6% at 200 units sold. ThisacademicprototypewasdevelopedwithintheframeworkofMinisterialDecisionNo.1275and is proposed as a marketable commercial product under the startup project TeleGimbal.
dc.identifier.urihttp://dspace.cuillizi.dz/handle/123456789/550
dc.publisherالمركز الجامعي إليزي - معهد العلوم، قسم الإعلام الآلي
dc.titleRotativeRoboticArmforIntelligentFace Tracking
dc.typeOther

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