diff --git a/client/data/routines.py b/client/data/routines.py
index c0829ae..982c665 100644
--- a/client/data/routines.py
+++ b/client/data/routines.py
@@ -7,10 +7,9 @@
 import sqlite3
 
 from datetime import datetime
-from typing import Any, NamedTuple, Optional
+from typing import Any, NamedTuple, Optional, Iterator
 from importlib import resources
 
-import cv2
 import numpy as np
 from pydbml import PyDBML
 
@@ -186,20 +185,30 @@ def get_user_postures(
         return [Posture(*record) for record in result.fetchall()]
 
 
-def register_faces(user_id: int, faces: list[np.ndarray]) -> None:
-    """Register faces for a user.
+def register_face_embeddings(user_id: int, face_embeddings: list[np.ndarray]) -> None:
+    """Register face embeddings for a user.
 
     Args:
         user_id: The user to register faces for.
-        faces: List of face arrays in the format HxWxC where channels are RGB
+        faces: List of face embedding arrays.
     """
+    stacked_faces = np.vstack(face_embeddings)
     with resources.as_file(FACES_FOLDER) as faces_folder:
-        faces_folder.mkdir(exist_ok=True)
-        user_folder = faces_folder / str(user_id)
-        user_folder.mkdir()
-        for i, image in enumerate(faces):
-            image_path = user_folder / f"{i}.png"
-            cv2.imwrite(str(image_path), image)
+        embedding_path = faces_folder / f"{user_id}.npy"
+        np.save(embedding_path, stacked_faces)
+
+
+def iter_face_embeddings() -> Iterator[tuple[int, list[np.ndarray]]]:
+    """
+    Returns:
+        Generator which yields (user_id, face_embeddings) each iteration. Each iteration will give
+            a different user. face_embeddings is a list of numpy arrays which each represent an
+            embedded face for the user.
+    """
+    with resources.as_file(FACES_FOLDER) as faces_folder:
+        for user_embeddings_path in faces_folder.iterdir():
+            user_id = int(user_embeddings_path.stem)
+            yield user_id, list(np.load(user_embeddings_path))
 
 
 def get_schema_info() -> list[list[tuple[Any]]]:
@@ -228,3 +237,11 @@ def _connect() -> sqlite3.Connection:
         return sqlite3.connect(
             database_file, detect_types=sqlite3.PARSE_DECLTYPES | sqlite3.PARSE_COLNAMES
         )
+
+
+def _init_faces_folder() -> None:
+    with resources.as_file(FACES_FOLDER) as faces_folder:
+        faces_folder.mkdir(exist_ok=True)
+
+
+_init_faces_folder()
diff --git a/client/models/face_recognition/recognition.py b/client/models/face_recognition/recognition.py
index 9dd0140..c55c7f3 100644
--- a/client/models/face_recognition/recognition.py
+++ b/client/models/face_recognition/recognition.py
@@ -1,14 +1,18 @@
-from importlib import resources
+from enum import Enum
 
 import numpy as np
-from data.routines import FACES_FOLDER
-from deepface import DeepFace
+import face_recognition
 
-MODEL_NAME = "GhostFaceNet"
+from data.routines import register_face_embeddings, iter_face_embeddings
 
+MODEL_NAME = "small"
 
-def _path_to_user_id(path: str) -> str:
-    return path.split("/")[-2]
+
+class Status(Enum):
+    NO_FACES = -3
+    TOO_MANY_FACES = -2
+    NO_MATCH = -1
+    OK = 0
 
 
 def get_face_match(login_face: np.ndarray) -> int:
@@ -19,13 +23,50 @@ def get_face_match(login_face: np.ndarray) -> int:
         login_face: Image of user's face as an array
 
     Returns:
-        Matching user id, or -1 if no users matched
+        Matching user id, or one of Status values.
     """
-    with resources.as_file(FACES_FOLDER) as faces_folder:
-        try:
-            dfs = DeepFace.find(login_face, str(faces_folder), model_name=MODEL_NAME)
-        except ValueError:
-            return -1
-        df = dfs[0]
-        user_id = int(_path_to_user_id(df.iloc[0]["identity"]))
-        return user_id
+    login_embeddings = face_recognition.face_encodings(login_face, model=MODEL_NAME)
+
+    # Should only detect exactly one face
+    if len(login_embeddings) == 0:
+        return Status.NO_FACES.value
+    if len(login_embeddings) > 1:
+        return Status.TOO_MANY_FACES.value
+
+    login_embedding = login_embeddings[0]
+
+    for user_id, user_embeddings in iter_face_embeddings():
+        matches = face_recognition.compare_faces(user_embeddings, login_embedding)
+
+        if any(matches):
+            return user_id
+
+    return Status.NO_MATCH.value
+
+
+def register_faces(user_id: int, faces: list[np.ndarray]) -> int:
+    """Compute and store face embeddings in the database.
+
+    Args:
+        user_id: Id of the user who belongs to the faces
+        faces: List of face images in the shape HxWxC where (C)hannels are in RGB
+
+    Returns:
+        Registration status
+    """
+    face_embeddings = []
+    for face in faces:
+        all_faces_embed = face_recognition.face_encodings(face, model=MODEL_NAME)
+
+        # Should only detect exactly one face
+        if len(all_faces_embed) == 0:
+            return Status.NO_FACES.value
+        if len(all_faces_embed) > 1:
+            return Status.TOO_MANY_FACES.value
+
+        face_embedding = all_faces_embed[0]
+        face_embeddings.append(face_embedding)
+
+    register_face_embeddings(user_id, face_embeddings)
+
+    return Status.OK.value
diff --git a/poetry.lock b/poetry.lock
index 2723ef3..baac2ee 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -24,13 +24,13 @@ files = [
 
 [[package]]
 name = "anyio"
-version = "4.4.0"
+version = "4.6.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "anyio-4.4.0-py3-none-any.whl", hash = "sha256:c1b2d8f46a8a812513012e1107cb0e68c17159a7a594208005a57dc776e1bdc7"},
-    {file = "anyio-4.4.0.tar.gz", hash = "sha256:5aadc6a1bbb7cdb0bede386cac5e2940f5e2ff3aa20277e991cf028e0585ce94"},
+    {file = "anyio-4.6.0-py3-none-any.whl", hash = "sha256:c7d2e9d63e31599eeb636c8c5c03a7e108d73b345f064f1c19fdc87b79036a9a"},
+    {file = "anyio-4.6.0.tar.gz", hash = "sha256:137b4559cbb034c477165047febb6ff83f390fc3b20bf181c1fc0a728cb8beeb"},
 ]
 
 [package.dependencies]
@@ -40,9 +40,9 @@ sniffio = ">=1.1"
 typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
-doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
-test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
-trio = ["trio (>=0.23)"]
+doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.21.0b1)"]
+trio = ["trio (>=0.26.1)"]
 
 [[package]]
 name = "appnope"
@@ -212,78 +212,78 @@ files = [
 
 [[package]]
 name = "cffi"
-version = "1.17.0"
+version = "1.17.1"
 description = "Foreign Function Interface for Python calling C code."
 optional = false
 python-versions = ">=3.8"
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 [[package]]
@@ -599,6 +599,16 @@ retina-face = ">=0.0.1"
 tensorflow = ">=1.9.0"
 tqdm = ">=4.30.0"
 
+[[package]]
+name = "dlib"
+version = "19.24.6"
+description = "A toolkit for making real world machine learning and data analysis applications"
+optional = false
+python-versions = "*"
+files = [
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+
 [[package]]
 name = "docutils"
 version = "0.21.2"
@@ -626,33 +636,61 @@ test = ["pytest (>=6)"]
 
 [[package]]
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-version = "2.0.1"
+version = "2.1.0"
 description = "Get the currently executing AST node of a frame, and other information"
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-python-versions = ">=3.5"
+python-versions = ">=3.8"
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 [package.extras]
 tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipython", "littleutils", "pytest", "rich"]
 
+[[package]]
+name = "face-recognition"
+version = "1.3.0"
+description = "Recognize faces from Python or from the command line"
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+python-versions = "*"
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+
+[package.dependencies]
+Click = ">=6.0"
+dlib = ">=19.7"
+face-recognition-models = ">=0.3.0"
+numpy = "*"
+Pillow = "*"
+
+[[package]]
+name = "face-recognition-models"
+version = "0.3.0"
+description = "Models used by the face_recognition package."
+optional = false
+python-versions = "*"
+files = [
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 description = "A platform independent file lock."
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 python-versions = ">=3.8"
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+typing = ["typing-extensions (>=4.12.2)"]
 
 [[package]]
 name = "fire"
@@ -692,13 +730,13 @@ dotenv = ["python-dotenv"]
 
 [[package]]
 name = "flask-cors"
-version = "4.0.1"
+version = "5.0.0"
 description = "A Flask extension adding a decorator for CORS support"
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 python-versions = "*"
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 ]
 
 [package.dependencies]
@@ -717,53 +755,59 @@ files = [
 
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 [[package]]
 name = "gunicorn"
@@ -955,15 +1008,18 @@ numpy = ">=1.17.3"
 
 [[package]]
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+
 [[package]]
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 version = "1.4.1"
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 [package.dependencies]
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 [[package]]
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 [package.dependencies]
@@ -1763,22 +1829,15 @@ numpy = [
 
 [[package]]
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-version = "3.3.0"
-description = "Optimizing numpys einsum function"
+version = "3.4.0"
+description = "Path optimization of einsum functions."
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.8"
 files = [
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 ]
 
-[package.dependencies]
-numpy = ">=1.7"
-
-[package.extras]
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-tests = ["pytest", "pytest-cov", "pytest-pep8"]
-
 [[package]]
 name = "optree"
 version = "0.12.1"
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 ]
 
 [package.dependencies]
@@ -2015,13 +2087,13 @@ sphinx = "*"
 
 [[package]]
 name = "piicodev"
-version = "1.10.2"
+version = "1.10.3"
 description = "MicroPython Drivers for the PiicoDev ecosystem of sensors and modules"
 optional = false
 python-versions = "*"
 files = [
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 ]
 
 [package.dependencies]
@@ -2129,19 +2201,19 @@ xmp = ["defusedxml"]
 
 [[package]]
 name = "platformdirs"
-version = "4.2.2"
+version = "4.3.6"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 optional = false
 python-versions = ">=3.8"
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 ]
 
 [package.extras]
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-test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)"]
-type = ["mypy (>=1.8)"]
+docs = ["furo (>=2024.8.6)", "proselint (>=0.14)", "sphinx (>=8.0.2)", "sphinx-autodoc-typehints (>=2.4)"]
+test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=8.3.2)", "pytest-cov (>=5)", "pytest-mock (>=3.14)"]
+type = ["mypy (>=1.11.2)"]
 
 [[package]]
 name = "pluggy"
@@ -2160,13 +2232,13 @@ testing = ["pytest", "pytest-benchmark"]
 
 [[package]]
 name = "prompt-toolkit"
-version = "3.0.47"
+version = "3.0.48"
 description = "Library for building powerful interactive command lines in Python"
 optional = false
 python-versions = ">=3.7.0"
 files = [
-    {file = "prompt_toolkit-3.0.47-py3-none-any.whl", hash = "sha256:0d7bfa67001d5e39d02c224b663abc33687405033a8c422d0d675a5a13361d10"},
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 ]
 
 [package.dependencies]
@@ -2174,22 +2246,22 @@ wcwidth = "*"
 
 [[package]]
 name = "protobuf"
-version = "4.25.4"
+version = "4.25.5"
 description = ""
 optional = false
 python-versions = ">=3.8"
 files = [
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-    {file = "protobuf-4.25.4.tar.gz", hash = "sha256:0dc4a62cc4052a036ee2204d26fe4d835c62827c855c8a03f29fe6da146b380d"},
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+    {file = "protobuf-4.25.5-cp39-cp39-win32.whl", hash = "sha256:abe32aad8561aa7cc94fc7ba4fdef646e576983edb94a73381b03c53728a626f"},
+    {file = "protobuf-4.25.5-cp39-cp39-win_amd64.whl", hash = "sha256:7a183f592dc80aa7c8da7ad9e55091c4ffc9497b3054452d629bb85fa27c2a45"},
+    {file = "protobuf-4.25.5-py3-none-any.whl", hash = "sha256:0aebecb809cae990f8129ada5ca273d9d670b76d9bfc9b1809f0a9c02b7dbf41"},
+    {file = "protobuf-4.25.5.tar.gz", hash = "sha256:7f8249476b4a9473645db7f8ab42b02fe1488cbe5fb72fddd445e0665afd8584"},
 ]
 
 [[package]]
@@ -2313,13 +2385,13 @@ files = [
 
 [[package]]
 name = "pytest"
-version = "8.3.2"
+version = "8.3.3"
 description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "pytest-8.3.2-py3-none-any.whl", hash = "sha256:4ba08f9ae7dcf84ded419494d229b48d0903ea6407b030eaec46df5e6a73bba5"},
-    {file = "pytest-8.3.2.tar.gz", hash = "sha256:c132345d12ce551242c87269de812483f5bcc87cdbb4722e48487ba194f9fdce"},
+    {file = "pytest-8.3.3-py3-none-any.whl", hash = "sha256:a6853c7375b2663155079443d2e45de913a911a11d669df02a50814944db57b2"},
+    {file = "pytest-8.3.3.tar.gz", hash = "sha256:70b98107bd648308a7952b06e6ca9a50bc660be218d53c257cc1fc94fda10181"},
 ]
 
 [package.dependencies]
@@ -2349,13 +2421,13 @@ six = ">=1.5"
 
 [[package]]
 name = "pytz"
-version = "2024.1"
+version = "2024.2"
 description = "World timezone definitions, modern and historical"
 optional = false
 python-versions = "*"
 files = [
-    {file = "pytz-2024.1-py2.py3-none-any.whl", hash = "sha256:328171f4e3623139da4983451950b28e95ac706e13f3f2630a879749e7a8b319"},
-    {file = "pytz-2024.1.tar.gz", hash = "sha256:2a29735ea9c18baf14b448846bde5a48030ed267578472d8955cd0e7443a9812"},
+    {file = "pytz-2024.2-py2.py3-none-any.whl", hash = "sha256:31c7c1817eb7fae7ca4b8c7ee50c72f93aa2dd863de768e1ef4245d426aa0725"},
+    {file = "pytz-2024.2.tar.gz", hash = "sha256:2aa355083c50a0f93fa581709deac0c9ad65cca8a9e9beac660adcbd493c798a"},
 ]
 
 [[package]]
@@ -2544,13 +2616,13 @@ tensorflow = ">=1.9.0"
 
 [[package]]
 name = "rich"
-version = "13.8.0"
+version = "13.9.0"
 description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
 optional = false
-python-versions = ">=3.7.0"
+python-versions = ">=3.8.0"
 files = [
-    {file = "rich-13.8.0-py3-none-any.whl", hash = "sha256:2e85306a063b9492dffc86278197a60cbece75bcb766022f3436f567cae11bdc"},
-    {file = "rich-13.8.0.tar.gz", hash = "sha256:a5ac1f1cd448ade0d59cc3356f7db7a7ccda2c8cbae9c7a90c28ff463d3e91f4"},
+    {file = "rich-13.9.0-py3-none-any.whl", hash = "sha256:9338ab80106a9257e1a910510ff72f9c0d31a27aaa8f560751a54fe910a874b6"},
+    {file = "rich-13.9.0.tar.gz", hash = "sha256:06ff5147711c0f6cec2cdbb247a6cff251268a66d700c2557699bfe104fc0bf4"},
 ]
 
 [package.dependencies]
@@ -2627,18 +2699,18 @@ test = ["Cython", "array-api-strict (>=2.0)", "asv", "gmpy2", "hypothesis (>=6.3
 
 [[package]]
 name = "setuptools"
-version = "74.0.0"
+version = "75.1.0"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "setuptools-74.0.0-py3-none-any.whl", hash = "sha256:0274581a0037b638b9fc1c6883cc71c0210865aaa76073f7882376b641b84e8f"},
-    {file = "setuptools-74.0.0.tar.gz", hash = "sha256:a85e96b8be2b906f3e3e789adec6a9323abf79758ecfa3065bd740d81158b11e"},
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+    {file = "setuptools-75.1.0.tar.gz", hash = "sha256:d59a21b17a275fb872a9c3dae73963160ae079f1049ed956880cd7c09b120538"},
 ]
 
 [package.extras]
 check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)", "ruff (>=0.5.2)"]
-core = ["importlib-metadata (>=6)", "importlib-resources (>=5.10.2)", "jaraco.text (>=3.7)", "more-itertools (>=8.8)", "packaging (>=24)", "platformdirs (>=2.6.2)", "tomli (>=2.0.1)", "wheel (>=0.43.0)"]
+core = ["importlib-metadata (>=6)", "importlib-resources (>=5.10.2)", "jaraco.collections", "jaraco.functools", "jaraco.text (>=3.7)", "more-itertools", "more-itertools (>=8.8)", "packaging", "packaging (>=24)", "platformdirs (>=2.6.2)", "tomli (>=2.0.1)", "wheel (>=0.43.0)"]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "pyproject-hooks (!=1.1)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
 enabler = ["pytest-enabler (>=2.2)"]
@@ -2762,17 +2834,17 @@ test = ["cython (>=3.0)", "defusedxml (>=0.7.1)", "pytest (>=8.0)", "setuptools
 
 [[package]]
 name = "sphinx-autobuild"
-version = "2024.4.16"
+version = "2024.9.19"
 description = "Rebuild Sphinx documentation on changes, with hot reloading in the browser."
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "sphinx_autobuild-2024.4.16-py3-none-any.whl", hash = "sha256:f2522779d30fcbf0253e09714f274ce8c608cb6ebcd67922b1c54de59faba702"},
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+    {file = "sphinx_autobuild-2024.9.19-py3-none-any.whl", hash = "sha256:57d974eebfc6461ff0fd136e78bf7a9c057d543d5166d318a45599898019b82c"},
+    {file = "sphinx_autobuild-2024.9.19.tar.gz", hash = "sha256:2dd4863d174e533c1cd075eb5dfc90ad9a21734af7efd25569bf228b405e08ef"},
 ]
 
 [package.dependencies]
-colorama = "*"
+colorama = ">=0.4.6"
 sphinx = "*"
 starlette = ">=0.35"
 uvicorn = ">=0.25"
@@ -2780,7 +2852,7 @@ watchfiles = ">=0.20"
 websockets = ">=11"
 
 [package.extras]
-test = ["pytest (>=6)"]
+test = ["httpx", "pytest (>=6)"]
 
 [[package]]
 name = "sphinxcontrib-apidoc"
@@ -2912,13 +2984,13 @@ tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"]
 
 [[package]]
 name = "starlette"
-version = "0.38.2"
+version = "0.39.2"
 description = "The little ASGI library that shines."
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "starlette-0.39.2-py3-none-any.whl", hash = "sha256:134dd6deb655a9775991d352312d53f1879775e5cc8a481f966e83416a2c3f71"},
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 ]
 
 [package.dependencies]
@@ -3152,24 +3224,24 @@ files = [
 
 [[package]]
 name = "tzdata"
-version = "2024.1"
+version = "2024.2"
 description = "Provider of IANA time zone data"
 optional = false
 python-versions = ">=2"
 files = [
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-    {file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"},
+    {file = "tzdata-2024.2-py2.py3-none-any.whl", hash = "sha256:a48093786cdcde33cad18c2555e8532f34422074448fbc874186f0abd79565cd"},
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 ]
 
 [[package]]
 name = "urllib3"
-version = "2.2.2"
+version = "2.2.3"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
@@ -3180,13 +3252,13 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "uvicorn"
-version = "0.30.6"
+version = "0.31.0"
 description = "The lightning-fast ASGI server."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -3305,97 +3377,97 @@ files = [
 
 [[package]]
 name = "websockets"
-version = "13.0.1"
+version = "13.1"
 description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
@@ -3511,4 +3583,4 @@ files = [
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.10,<3.11"
-content-hash = "522fc6bbe247a2246802fe79ffdce379f57606f45d683110eb2ee3b615dc7738"
+content-hash = "89d76daecd1635c0979bc9ae61ccd4799a784d73fb280454591cbcdf96cf717d"
diff --git a/pyproject.toml b/pyproject.toml
index 9d1aa96..fef6407 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -20,6 +20,7 @@ tensorflow-io-gcs-filesystem = "0.27.0"
 tf-keras = "^2.17.0"
 h5py = "3.10.0"
 rpi-gpio = "^0.7.1"
+face-recognition = "^1.3.0"
 
 [tool.poetry.group.dev.dependencies]
 pytest = "^8.3.2"
diff --git a/scripts/explore-deepface.py b/scripts/explore-deepface.py
deleted file mode 100644
index 2969f64..0000000
--- a/scripts/explore-deepface.py
+++ /dev/null
@@ -1,35 +0,0 @@
-from pprint import pprint
-import cv2
-from deepface import DeepFace
-
-
-ENTER_ASCII = 13
-
-
-def take_photo(photo_name):
-    capture = cv2.VideoCapture(0)
-    while True:
-        success, frame = capture.read()
-        if not success:
-            continue
-
-        cv2.imshow(f"Camera Preview for {photo_name}: Press enter to take photo", frame)
-
-        if cv2.waitKey(1) & 0xFF == ENTER_ASCII:
-            cv2.imwrite(photo_name, frame)
-
-            break
-
-    capture.release()
-    cv2.destroyAllWindows()
-
-
-# Take two photos. Press enter to confirm photo.
-print("Please take two photos")
-take_photo("photo1.png")
-take_photo("photo2.png")
-
-
-# Verify that photos are of same person.
-print("Deepface output")
-pprint(DeepFace.verify("photo1.png", "photo2.png", model_name="GhostFaceNet"))
diff --git a/scripts/face_unlock.py b/scripts/face_unlock.py
index d6afbbb..931e4f4 100644
--- a/scripts/face_unlock.py
+++ b/scripts/face_unlock.py
@@ -1,9 +1,11 @@
 import logging
-
+import argparse
 import cv2
+
 import numpy as np
-from data.routines import register_faces
-from models.face_recognition.recognition import get_face_match
+
+from models.face_recognition.recognition import get_face_match, register_faces
+from models.pose_detection.frame_capturer import FrameCapturer, RaspCapturer
 
 logger = logging.getLogger(__name__)
 
@@ -12,11 +14,23 @@ def take_snapshot() -> np.ndarray:
     """Opens camera and takes one snapshot"""
     video = cv2.VideoCapture(0)
     _, frame = video.read()
+    frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
     video.release()
     return frame
 
 
+class OpenCVSnapshotter(FrameCapturer):
+    def get_frame(self) -> tuple[np.ndarray, int]:
+        return take_snapshot(), 0
+
+
 def main():
+    logging.basicConfig(level=logging.DEBUG)
+    parser = argparse.ArgumentParser()
+    parser.add_argument("-p", "--pi", action="store_true")
+    args = parser.parse_args()
+
+    capturer = RaspCapturer() if args.pi else OpenCVSnapshotter()
     choice = input("(r)egister or (l)ogin: ")
 
     if choice == "r":
@@ -24,16 +38,18 @@ def main():
         user_id = int(input("Enter user id: "))
         for i in range(5):
             input(f"Enter to register a face ({i+1}): ")
-            frame = take_snapshot()
+            frame, _ = capturer.get_frame()
             faces.append(frame)
 
-        register_faces(user_id, faces)
+        logger.info("Registering face snapshots")
+        status = register_faces(user_id, faces)
+        logger.info("Registration status %d", status)
 
     elif choice == "l":
         input("Enter to login: ")
-        frame = take_snapshot()
+        frame, _ = capturer.get_frame()
         match = get_face_match(frame)
-        print(f"Matched to user id {match}")
+        logger.info("Matched to user id %d", match)
 
 
 if __name__ == "__main__":
diff --git a/scripts/register_faces.py b/scripts/register_faces.py
deleted file mode 100644
index f6d9fb4..0000000
--- a/scripts/register_faces.py
+++ /dev/null
@@ -1,25 +0,0 @@
-import logging
-
-import cv2
-from data.routines import register_faces
-
-logger = logging.getLogger(__name__)
-
-
-def main():
-    logging.basicConfig(level=logging.DEBUG)
-
-    video = cv2.VideoCapture(0)
-    faces = []
-    for _ in range(5):
-        _, frame = video.read()
-        faces.append(frame)
-        input("Enter to continue: ")
-
-    video.release()
-    logger.debug("Registering faces")
-    register_faces(1, faces)
-
-
-if __name__ == "__main__":
-    main()
diff --git a/scripts/test_face_match_pi.py b/scripts/test_face_match_pi.py
deleted file mode 100644
index 3cb274b..0000000
--- a/scripts/test_face_match_pi.py
+++ /dev/null
@@ -1,24 +0,0 @@
-import argparse
-import logging
-
-import cv2
-
-from models.face_recognition.recognition import get_face_match
-
-logger = logging.getLogger(__name__)
-
-
-def main():
-    parser = argparse.ArgumentParser()
-    parser.add_argument("image_path")
-    args = parser.parse_args()
-    logger.debug("Reading image")
-    face = cv2.imread(args.image_path)
-    logger.debug("Checking for a match")
-    matched_id = get_face_match(face)
-
-    logger.debug("Matched user %d", matched_id)
-
-
-if __name__ == "__main__":
-    main()