Shijin V
2 months ago
@ -0,0 +1,47 @@ |
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.. image:: https://img.shields.io/badge/license-LGPL--3-green.svg |
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:target: https://www.gnu.org/licenses/lgpl-3.0-standalone.html |
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:alt: License: LGPL-3 |
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|
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Pos Face Recognition |
|||
==================== |
|||
This module helps you to login pos session by face recognition |
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|
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Configuration |
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============= |
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* No additional configurations needed |
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|
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Company |
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------- |
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* `Cybrosys Techno Solutions <https://cybrosys.com/>`__ |
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|
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License |
|||
------- |
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General Public License, Version 3 (LGPL v3). |
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(http://www.gnu.org/licenses/lgpl-3.0-standalone.html) |
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|
|||
Credits |
|||
------- |
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* Developers: (V18) Adarsh K, |
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(V17) Bhagyadev KP, |
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* Contact: odoo@cybrosys.com |
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|
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Contacts |
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-------- |
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* Mail Contact : odoo@cybrosys.com |
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* Website : https://cybrosys.com |
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|
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Bug Tracker |
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----------- |
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Bugs are tracked on GitHub Issues. In case of trouble, please check there if your issue has already been reported. |
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|
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Maintainer |
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========== |
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.. image:: https://cybrosys.com/images/logo.png |
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:target: https://cybrosys.com |
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|
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This module is maintained by Cybrosys Technologies. |
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For support and more information, please visit `Our Website <https://cybrosys.com/>`__ |
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|
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Further information |
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=================== |
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HTML Description: `<static/description/index.html>`__ |
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@ -0,0 +1,22 @@ |
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# -*- coding: utf-8 -*- |
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################################################################################ |
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# |
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# Cybrosys Technologies Pvt. Ltd. |
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# |
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# Copyright (C) 2025-TODAY Cybrosys Technologies(<https://www.cybrosys.com>) |
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# Author: Adarsh K (<https://www.cybrosys.com>) |
|||
# |
|||
# You can modify it under the terms of the GNU LESSER |
|||
# GENERAL PUBLIC LICENSE (LGPL v3), Version 3. |
|||
# |
|||
# This program is distributed in the hope that it will be useful, |
|||
# but WITHOUT ANY WARRANTY; without even the implied warranty of |
|||
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
|||
# GNU LESSER GENERAL PUBLIC LICENSE (LGPL v3) for more details. |
|||
# |
|||
# You should have received a copy of the GNU LESSER GENERAL PUBLIC LICENSE |
|||
# (LGPL v3) along with this program. |
|||
# If not, see <http://www.gnu.org/licenses/>. |
|||
# |
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################################################################################ |
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from . import models |
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@ -0,0 +1,52 @@ |
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# -*- coding: utf-8 -*- |
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################################################################################ |
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# |
|||
# Cybrosys Technologies Pvt. Ltd. |
|||
# |
|||
# Copyright (C) 2025-TODAY Cybrosys Technologies(<https://www.cybrosys.com>) |
|||
# Author: Adarsh K (<https://www.cybrosys.com>) |
|||
# |
|||
# You can modify it under the terms of the GNU LESSER |
|||
# GENERAL PUBLIC LICENSE (LGPL v3), Version 3. |
|||
# |
|||
# This program is distributed in the hope that it will be useful, |
|||
# but WITHOUT ANY WARRANTY; without even the implied warranty of |
|||
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
|||
# GNU LESSER GENERAL PUBLIC LICENSE (LGPL v3) for more details. |
|||
# |
|||
# You should have received a copy of the GNU LESSER GENERAL PUBLIC LICENSE |
|||
# (LGPL v3) along with this program. |
|||
# If not, see <http://www.gnu.org/licenses/>. |
|||
# |
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################################################################################ |
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{ |
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'name': 'Pos Face Recognition', |
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'version': '18.0.1.0.0', |
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'category': 'Point of Sales', |
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'summary': 'User can login pos session by face recognition method', |
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'description': 'User can login pos session by face recognition ' |
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'method.If any unauthorized login is detected a warning ' |
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'message is arise.', |
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'author': 'Cybrosys Techno Solutions', |
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'company': 'Cybrosys Techno Solutions', |
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'maintainer': 'Cybrosys Techno Solutions', |
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'website': 'https://www.cybrosys.com', |
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'depends': ['pos_hr'], |
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'assets': { |
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'point_of_sale._assets_pos': [ |
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'https://cdn.jsdelivr.net/npm/@vladmandic/face-api@1/dist/face-api.js', |
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'https://code.jquery.com/jquery-3.3.1.min.js', |
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'https://unpkg.com/webcam-easy/dist/webcam-easy.min.js', |
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'pos_face_recognition/static/src/js/SelectionPopup.js', |
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'pos_face_recognition/static/src/xml/SelectionPopup.xml' |
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] |
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}, |
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'data': [ |
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'views/hr_employee_view.xml' |
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], |
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'images': ['static/description/banner.png'], |
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'license': 'LGPL-3', |
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'installable': True, |
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'auto_install': False, |
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'application': False, |
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} |
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@ -0,0 +1,6 @@ |
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## Module <pos_face_recognition> |
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|
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#### 19.02.2025 |
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#### Version 18.0.1.0.0 |
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##### ADD |
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- Initial commit for Pos Face Recognition |
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@ -0,0 +1,22 @@ |
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# -*- coding: utf-8 -*- |
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################################################################################ |
|||
# |
|||
# Cybrosys Technologies Pvt. Ltd. |
|||
# |
|||
# Copyright (C) 2025-TODAY Cybrosys Technologies(<https://www.cybrosys.com>) |
|||
# Author: Adarsh K (<https://www.cybrosys.com>) |
|||
# |
|||
# You can modify it under the terms of the GNU LESSER |
|||
# GENERAL PUBLIC LICENSE (LGPL v3), Version 3. |
|||
# |
|||
# This program is distributed in the hope that it will be useful, |
|||
# but WITHOUT ANY WARRANTY; without even the implied warranty of |
|||
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
|||
# GNU LESSER GENERAL PUBLIC LICENSE (LGPL v3) for more details. |
|||
# |
|||
# You should have received a copy of the GNU LESSER GENERAL PUBLIC LICENSE |
|||
# (LGPL v3) along with this program. |
|||
# If not, see <http://www.gnu.org/licenses/>. |
|||
# |
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################################################################################ |
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from . import hr_employee |
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@ -0,0 +1,35 @@ |
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# -*- coding: utf-8 -*- |
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################################################################################ |
|||
# |
|||
# Cybrosys Technologies Pvt. Ltd. |
|||
# |
|||
# Copyright (C) 2025-TODAY Cybrosys Technologies(<https://www.cybrosys.com>) |
|||
# Author: Adarsh K (<https://www.cybrosys.com>) |
|||
# |
|||
# You can modify it under the terms of the GNU LESSER |
|||
# GENERAL PUBLIC LICENSE (LGPL v3), Version 3. |
|||
# |
|||
# This program is distributed in the hope that it will be useful, |
|||
# but WITHOUT ANY WARRANTY; without even the implied warranty of |
|||
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
|||
# GNU LESSER GENERAL PUBLIC LICENSE (LGPL v3) for more details. |
|||
# |
|||
# You should have received a copy of the GNU LESSER GENERAL PUBLIC LICENSE |
|||
# (LGPL v3) along with this program. |
|||
# If not, see <http://www.gnu.org/licenses/>. |
|||
# |
|||
################################################################################ |
|||
from odoo import api, fields, models |
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|
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|
|||
class HrEmployee(models.Model): |
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""" |
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Inheriting hr_employee model to add a image field |
|||
""" |
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_inherit = 'hr.employee' |
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|
|||
image = fields.Binary(string="Image", help="Add image for POS face login") |
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|
|||
@api.model |
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def _load_pos_data_fields(self, config_id): |
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return ['name', 'user_id', 'work_contact_id', 'image'] |
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|
After Width: | Height: | Size: 2.2 KiB |
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After Width: | Height: | Size: 36 KiB |
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After Width: | Height: | Size: 988 B |
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After Width: | Height: | Size: 875 B |
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After Width: | Height: | Size: 92 KiB |
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After Width: | Height: | Size: 697 KiB |
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After Width: | Height: | Size: 1.1 MiB |
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After Width: | Height: | Size: 43 KiB |
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|
After Width: | Height: | Size: 11 KiB |
@ -0,0 +1,121 @@ |
|||
//Loading faceapi weights
|
|||
const MODEL_URL = '/pos_face_recognition/static/src/js/weights'; |
|||
import { _t } from "@web/core/l10n/translation"; |
|||
import { SelectionPopup } from "@point_of_sale/app/utils/input_popups/selection_popup"; |
|||
import { usePos } from "@point_of_sale/app/store/pos_hook"; |
|||
import { patch } from "@web/core/utils/patch"; |
|||
import { useService } from "@web/core/utils/hooks"; |
|||
import { useRef, useState } from "@odoo/owl"; |
|||
import { AlertDialog } from "@web/core/confirmation_dialog/confirmation_dialog"; |
|||
faceapi.nets.ssdMobilenetv1.loadFromUri(MODEL_URL) |
|||
faceapi.nets.faceLandmark68Net.loadFromUri(MODEL_URL) |
|||
faceapi.nets.faceRecognitionNet.loadFromUri(MODEL_URL) |
|||
faceapi.nets.tinyFaceDetector.load(MODEL_URL), |
|||
faceapi.nets.faceLandmark68TinyNet.load(MODEL_URL), |
|||
faceapi.nets.faceExpressionNet.load(MODEL_URL), |
|||
faceapi.nets.ageGenderNet.load(MODEL_URL) |
|||
//Patching SelectionPopup component to add face login system
|
|||
patch(SelectionPopup.prototype, { |
|||
setup() { |
|||
|
|||
super.setup(...arguments); |
|||
this.pos = usePos(); |
|||
this.rootRef = useRef("root"); |
|||
this.rootEmp = useRef("rootEmp"); |
|||
this.dialog = useService("dialog"); |
|||
this.faceMatcher = null; |
|||
}, |
|||
// Function which will decide to open the web camera
|
|||
async selectItem(itemId) { |
|||
this.state.selectedId = itemId; |
|||
await this.loadImage(itemId) |
|||
if (this.have_image != false) { |
|||
await this.startWebcam() |
|||
} else { |
|||
this.dialog.add(AlertDialog, { |
|||
title: _t("Authentication failed"), |
|||
body: _t( |
|||
"Selected cashier have no image.." |
|||
), |
|||
}); |
|||
} |
|||
}, |
|||
|
|||
// Function which will load the cashier image
|
|||
async loadImage(itemId){ |
|||
const user = this.pos.models["hr.employee"].find( |
|||
(emp) => emp.id === itemId |
|||
); |
|||
this.have_image = user.image |
|||
const employee_image = this.rootEmp.el |
|||
if (this.have_image != false) { |
|||
employee_image.src = "data:image/jpeg;base64," + user.image |
|||
} |
|||
}, |
|||
|
|||
// Function to start the web camera
|
|||
startWebcam(){ |
|||
const video = document.getElementById('video') |
|||
navigator?.mediaDevices.getUserMedia( |
|||
{ video: true, audio: false } |
|||
).then((stream) => { |
|||
video.srcObject = stream |
|||
}).catch((error) => { |
|||
console.error(error) |
|||
}).then(this.faceRecognition(video)) |
|||
}, |
|||
|
|||
// Function to get the descriptions of cashier image
|
|||
async getLabeledFaceDescriptions(){ |
|||
const employee_image = this.rootEmp.el; |
|||
const detections = await faceapi |
|||
.detectSingleFace(employee_image) |
|||
.withFaceLandmarks() |
|||
.withFaceExpressions() |
|||
.withFaceDescriptor(); |
|||
return detections |
|||
}, |
|||
|
|||
// Function which compares the webcam image with cashier image
|
|||
async faceRecognition(video){ |
|||
const labeledFaceDescriptors = await this.getLabeledFaceDescriptions() |
|||
if (!this.faceMatcher) { |
|||
this.faceMatcher = new faceapi.FaceMatcher([labeledFaceDescriptors.descriptor]); |
|||
} |
|||
video.addEventListener('play', () => { |
|||
const canvas = faceapi.createCanvasFromMedia(video); |
|||
document.body.append(canvas); |
|||
const displaySize = {width: video.width, height: video.height} |
|||
faceapi.matchDimensions(canvas, displaySize) |
|||
setInterval(async () => { |
|||
const detections = await faceapi |
|||
.detectAllFaces(video) |
|||
.withFaceLandmarks() |
|||
.withFaceExpressions() |
|||
.withFaceDescriptors(); |
|||
detections.forEach((detection) => { |
|||
const match = this.faceMatcher.findBestMatch(detection.descriptor); |
|||
if (match._distance < 0.4 ) { // Adjust threshold as needed
|
|||
const modal = this.rootRef.el; |
|||
if (modal) { |
|||
modal.style.display = 'none'; |
|||
this.modalVisible = false; |
|||
this.confirm(); |
|||
video.srcObject.getTracks().forEach(track => track.stop()); |
|||
canvas.remove(); |
|||
} |
|||
} |
|||
else { |
|||
this.dialog.add(AlertDialog, { |
|||
title: _t("Authentication failed"), |
|||
body: _t( |
|||
"Face not recognized.." |
|||
), |
|||
}); |
|||
location.reload(); |
|||
} |
|||
}); |
|||
}, 100); |
|||
}) |
|||
}, |
|||
}) |
|||
@ -0,0 +1,618 @@ |
|||
[ |
|||
{ |
|||
"weights": [ |
|||
{ |
|||
"name": "entry_flow/conv_in/filters", |
|||
"shape": [ |
|||
3, |
|||
3, |
|||
3, |
|||
32 |
|||
], |
|||
"dtype": "float32", |
|||
"quantization": { |
|||
"dtype": "uint8", |
|||
"scale": 0.005431825039433498, |
|||
"min": -0.7441600304023892 |
|||
} |
|||
}, |
|||
{ |
|||
"name": "entry_flow/conv_in/bias", |
|||
"shape": [ |
|||
32 |
|||
], |
|||
"dtype": "float32" |
|||
}, |
|||
{ |
|||
"name": "entry_flow/reduction_block_0/separable_conv0/depthwise_filter", |
|||
"shape": [ |
|||
3, |
|||
3, |
|||
32, |
|||
1 |
|||
], |
|||
"dtype": "float32", |
|||
"quantization": { |
|||
"dtype": "uint8", |
|||
"scale": 0.005691980614381678, |
|||
"min": -0.6090419257388395 |
|||
} |
|||
}, |
|||
{ |
|||
"name": "entry_flow/reduction_block_0/separable_conv0/pointwise_filter", |
|||
"shape": [ |
|||
1, |
|||
1, |
|||
32, |
|||
64 |
|||
], |
|||
"dtype": "float32", |
|||
"quantization": { |
|||
"dtype": "uint8", |
|||
"scale": 0.009089225881239947, |
|||
"min": -1.1179747833925135 |
|||
} |
|||
}, |
|||
{ |
|||
"name": "entry_flow/reduction_block_0/separable_conv0/bias", |
|||
"shape": [ |
|||
64 |
|||
], |
|||
"dtype": "float32" |
|||
}, |
|||
{ |
|||
"name": "entry_flow/reduction_block_0/separable_conv1/depthwise_filter", |
|||
"shape": [ |
|||
3, |
|||
3, |
|||
64, |
|||
1 |
|||
], |
|||
"dtype": "float32", |
|||
"quantization": { |
|||
"dtype": "uint8", |
|||
"scale": 0.00683894624897078, |
|||
"min": -0.8138346036275228 |
|||
} |
|||
}, |
|||
{ |
|||
"name": "entry_flow/reduction_block_0/separable_conv1/pointwise_filter", |
|||
"shape": [ |
|||
1, |
|||
1, |
|||
64, |
|||
64 |
|||
], |
|||
"dtype": "float32", |
|||
"quantization": { |
|||
"dtype": "uint8", |
|||
"scale": 0.011632566358528886, |
|||
"min": -1.3028474321552352 |
|||
} |
|||
}, |
|||
{ |
|||
"name": "entry_flow/reduction_block_0/separable_conv1/bias", |
|||
"shape": [ |
|||
64 |
|||
], |
|||
"dtype": "float32" |
|||
}, |
|||
{ |
|||
"name": "entry_flow/reduction_block_0/expansion_conv/filters", |
|||
"shape": [ |
|||
1, |
|||
1, |
|||
32, |
|||
64 |
|||
], |
|||
"dtype": "float32", |
|||
"quantization": { |
|||
"dtype": "uint8", |
|||
"scale": 0.010254812240600587, |
|||
"min": -0.9229331016540528 |
|||
} |
|||
}, |
|||
{ |
|||
"name": "entry_flow/reduction_block_0/expansion_conv/bias", |
|||
"shape": [ |
|||
64 |
|||
], |
|||
"dtype": "float32" |
|||
}, |
|||
{ |
|||
"name": "entry_flow/reduction_block_1/separable_conv0/depthwise_filter", |
|||
"shape": [ |
|||
3, |
|||
3, |
|||
64, |
|||
1 |
|||
], |
|||
"dtype": "float32", |
|||
"quantization": { |
|||
"dtype": "uint8", |
|||
"scale": 0.0052509616403018725, |
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