Deteksi wajah
Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
Dengan API deteksi wajah pada ML Kit, Anda dapat mendeteksi wajah pada gambar, mengidentifikasi fitur utama wajah, dan mendapatkan kontur wajah yang terdeteksi. Perhatikan bahwa API
mendeteksi wajah, tetapi tidak mengenali orang .
Dengan deteksi wajah, Anda bisa mendapatkan informasi yang diperlukan untuk melakukan tugas seperti
menghiasi selfie dan potret, atau membuat avatar dari foto pengguna.
Karena ML Kit dapat melakukan deteksi wajah secara real time, Anda dapat menggunakannya dalam aplikasi seperti video chat atau game yang merespons ekspresi pemain.
iOS
Android
Kemampuan utama
- Mengenali dan menemukan fitur wajah
Mendapatkan koordinat mata, telinga, pipi, hidung, dan mulut setiap
wajah yang terdeteksi.
- Mendapatkan kontur fitur wajah
Dapatkan kontur wajah yang terdeteksi serta mata, alis, bibir, dan hidung mereka.
- Mengenali ekspresi wajah
Menentukan apakah seseorang tersenyum atau menutup mata.
- Melacak wajah di seluruh frame video
Mendapatkan ID untuk setiap wajah unik yang terdeteksi.
ID ini konsisten di seluruh pemanggilan, sehingga Anda dapat
melakukan manipulasi gambar pada orang tertentu dalam streaming video.
- Memproses frame video secara real time
Deteksi wajah dilakukan di perangkat, dan cukup cepat untuk digunakan
dalam aplikasi real-time, seperti manipulasi video.
Hasil contoh
Contoh 1
Untuk setiap wajah yang terdeteksi:
| Wajah 1 dari 3 |
|---|
| Poligon pembatas |
(884.880004882812, 149.546676635742),
(1030.77197265625, 149.546676635742),
(1030.77197265625, 329,280,380,28
|
| Sudut rotasi |
Y: -14.054030418395996, Z: -55.007488250732422 |
| ID Pelacakan |
2 |
| Bangunan wajah |
| Mata kiri |
(945,869323730469, 211,867126464844) |
| Mata kanan |
(971,579467773438, 247,257247924805) |
| Bagian bawah mulut |
(907,756591796875, 259,714477539062) |
... {i>dll.<i}
|
| Probabilitas fitur |
| Tersenyum |
0,88979166746139526 |
| Mata kiri terbuka |
0,98635888937860727 |
| Mata kanan terbuka |
0,99258323386311531 |
|
Contoh 2 (deteksi kontur wajah)
Ketika mengaktifkan deteksi kontur wajah, Anda juga akan melihat sekumpulan titik untuk setiap fitur wajah yang terdeteksi. Titik-titik ini mewakili bentuk
fitur. Gambar berikut mengilustrasikan bagaimana titik-titik ini dipetakan ke wajah.
Klik gambar untuk memperbesarnya:
| Kontur fitur wajah |
|---|
| Jembatan hidung |
(505.149811, 221.201797), (506.987122, 313.285919)
|
| Mata kiri |
(404.642029, 232.854431), (408.527283, 231.366623), (413.565796, 229.427856), (421.378296), (421.378296),
|
| Bagian atas bibir atas |
(421.662048, 354.520813), (428.103882, 349.694061), (440.847595, 348.048737), (456.549988, 346.295532),
|
| (dll.) |
|
Kecuali dinyatakan lain, konten di halaman ini dilisensikan berdasarkan Lisensi Creative Commons Attribution 4.0, sedangkan contoh kode dilisensikan berdasarkan Lisensi Apache 2.0. Untuk mengetahui informasi selengkapnya, lihat Kebijakan Situs Google Developers. Java adalah merek dagang terdaftar dari Oracle dan/atau afiliasinya.
Terakhir diperbarui pada 2025-08-29 UTC.
[null,null,["Terakhir diperbarui pada 2025-08-29 UTC."],[[["\u003cp\u003eML Kit's Face Detection API can detect faces and their features in images and videos, but it does not recognize individuals.\u003c/p\u003e\n"],["\u003cp\u003eIt can be used for tasks such as adding effects to photos, creating avatars, and building interactive applications that respond to facial expressions.\u003c/p\u003e\n"],["\u003cp\u003eThe API provides facial feature coordinates, contours, expression detection (like smiling), and face tracking across video frames.\u003c/p\u003e\n"],["\u003cp\u003eFace detection happens on the device and is fast enough for real-time applications.\u003c/p\u003e\n"]]],[],null,["With ML Kit's face detection API, you can detect faces in an image, identify\nkey facial features, and get the contours of detected faces. Note that the API\n*detects faces* , it does not *recognize people* .\n\nWith face detection, you can get the information you need to perform tasks like\nembellishing selfies and portraits, or generating avatars from a user's photo.\nBecause ML Kit can perform face detection in real time, you can use it in\napplications like video chat or games that respond to the player's expressions.\n\n[iOS](/ml-kit/vision/face-detection/ios)\n[Android](/ml-kit/vision/face-detection/android)\n\nKey capabilities\n\n- **Recognize and locate facial features** Get the coordinates of the eyes, ears, cheeks, nose, and mouth of every face detected.\n- **Get the contours of facial features** Get the contours of detected faces and their eyes, eyebrows, lips, and nose.\n- **Recognize facial expressions** Determine whether a person is smiling or has their eyes closed.\n- **Track faces across video frames** Get an identifier for each unique detected face. The identifier is consistent across invocations, so you can perform image manipulation on a particular person in a video stream.\n- **Process video frames in real time** Face detection is performed on the device, and is fast enough to be used in real-time applications, such as video manipulation.\n\nExample results\n\nExample 1\n\nFor each face detected:\n\n| Face 1 of 3 ||\n|---------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| **Bounding polygon** | (884.880004882812, 149.546676635742), (1030.77197265625, 149.546676635742), (1030.77197265625, 329.660278320312), (884.880004882812, 329.660278320312) |\n| **Angles of rotation** | Y: -14.054030418395996, Z: -55.007488250732422 |\n| **Tracking ID** | 2 |\n| **Facial landmarks** | |---------------------|--------------------------------------| | **Left eye** | (945.869323730469, 211.867126464844) | | **Right eye** | (971.579467773438, 247.257247924805) | | **Bottom of mouth** | (907.756591796875, 259.714477539062) | ... etc. |\n| **Feature probabilities** | |--------------------|---------------------| | **Smiling** | 0.88979166746139526 | | **Left eye open** | 0.98635888937860727 | | **Right eye open** | 0.99258323386311531 | |\n\nExample 2 (face contour detection)\n\nWhen you have face contour detection enabled, you also get a list of points\nfor each facial feature that was detected. These points represent the shape of\nthe feature. The following image illustrates how these points map to a face.\nClick the image to enlarge it:\n\n[](/static/ml-kit/vision/face-detection/images/face_contours.svg)\n\n| Facial feature contours ||\n|----------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| **Nose bridge** | (505.149811, 221.201797), (506.987122, 313.285919) |\n| **Left eye** | (404.642029, 232.854431), (408.527283, 231.366623), (413.565796, 229.427856), (421.378296, 226.967682), (432.598755, 225.434143), (442.953064, 226.089508), (453.899811, 228.594818), (461.516418, 232.650467), (465.069580, 235.600845), (462.170410, 236.316147), (456.233643, 236.891602), (446.363922, 237.966888), (435.698914, 238.149323), (424.320740, 237.235168), (416.037720, 236.012115), (409.983459, 234.870300) |\n| **Top of upper lip** | (421.662048, 354.520813), (428.103882, 349.694061), (440.847595, 348.048737), (456.549988, 346.295532), (480.526489, 346.089294), (503.375702, 349.470459), (525.624634, 347.352783), (547.371155, 349.091980), (560.082031, 351.693268), (570.226685, 354.210175), (575.305420, 359.257751) |\n| (etc.) | |"]]
