Kipas Angin Pengikut Manusia Berdasarkan Wajah

Wahyudi Prasatia; Kamarudin Kamarudin

doi:10.30871/ji.v10i2.906

Penulis

Wahyudi Prasatia Electrical Engineering Study Program, Politeknik Negeri Batam
Kamarudin Kamarudin Electrical Engineering Study Program, Politeknik Negeri Batam

DOI:

https://doi.org/10.30871/ji.v10i2.906

Kata Kunci:

Haar Cascade, PID, OpenCV, Zigler Nichols

Abstrak

Kemajuan teknologi membuat kebutuhan terhadap sistem yang otomatis meningkat, salah satunya membuat kipas dapat tracking manusia secara otomatis. Pada penelitian ini bertujuan untuk mengembangkan sebuah sistem kipas yang dapat men-tracking manusia berdasarkan wajah dan dapat membedakan wajah dengan hambatan lain disekitarnya, sehingga manusia tidak perlu mengatur secara manual dalam mengarahkan kipas agar mendapat tiupan angin dari kipas. Untuk mendeteksi wajah manusia digunakan kamera dari smartphone android yang telah terintegrasi dengan metoda deteksi Haar Cascade yang tersedia pada library OpenCV. Sedangkan untuk melakukan tracking maka digunakan pengendali PID dengan dengan metode tuning Zigler Nichols yang terintegrasi dengan motor DC. Berdasarkan hasil percobaan sistem dapat melakukan tracking terhadap wajah manusia dengan rata-rata error sebesar 4.14%, sementara pengujian terhadap deteksi wajah mempunyai tingkat keberhasilan 100% dalam keadaan wajah frontal. Sementara sistem dapat men-tracking manusia berdasarkan wajah dengan keberhasilan 95%. Adapun kesalahan diakibatkan oleh sistem mekanik gearbox motor dc dan posisi hardware kamera yang tidak lurus terhadap objek wajah.

Unduhan

Data unduhan belum tersedia.

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