Face Recognition Attendance with GPS Tracking and Multi-Geofencing Control
by TechUltra Solutions Private Limited https://www.techultrasolutions.com$ 35.00
| Availability |
Odoo Online
Odoo.sh
On Premise
|
| Odoo Apps Dependencies |
•
Attendances (hr_attendance)
• Employees (hr) • Website (website) • Discuss (mail) |
| Lines of code | 976 |
| Technical Name |
hr_attendance_face_detection |
| License | OPL-1 |
| Website | https://www.techultrasolutions.com |
| Versions | 16.0 17.0 18.0 19.0 |
| Availability |
Odoo Online
Odoo.sh
On Premise
|
| Odoo Apps Dependencies |
•
Attendances (hr_attendance)
• Employees (hr) • Website (website) • Discuss (mail) |
| Lines of code | 976 |
| Technical Name |
hr_attendance_face_detection |
| License | OPL-1 |
| Website | https://www.techultrasolutions.com |
| Versions | 16.0 17.0 18.0 19.0 |
Face Recognition Attendance with GPS Tracking and Multi-Geofencing Control
Daily attendance tracking is a critical component of effective workforce management. However,
traditional methods such as manual registers, access cards, or PIN-based systems are often prone to
errors, manipulation, and inefficiencies. The TechUltra Face Recognition Attendance System with GPS
Tracking and Multi-Geofencing Control transforms attendance management with AI-powered, contactless
facial recognition seamlessly integrated into the Odoo HR suite.
Employees can mark attendance simply by facing the camera no physical contact, cards, or manual
input required. Advanced liveness detection ensures that only real, authorized users can check in or
check out, effectively eliminating proxy attendance and fraudulent practices.
To further strengthen security and operational flexibility, the system supports Multiple
Geofence Locations. Organizations can define and manage multiple attendance zones, such as different
office branches, warehouses, project sites, or remote work locations. Each geofence is configured
with its own latitude, longitude, and allowable radius (in meters).
Employees must be physically present within any authorized geofence location to successfully mark
attendance using face recognition. If an employee attempts to check in or check out from outside all
configured geofenced areas, the system automatically restricts attendance marking.
With real-time GPS validation, intelligent multi-location geofencing, instant attendance logging,
and seamless integration, HR teams gain enhanced accuracy, reduced administrative overhead, and
stronger control over attendance policies ultimately driving higher operational efficiency and
workforce productivity.
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OR
- AI-Powered Recognition : Advanced facial recognition with 99%+ accuracy
- Anti-Spoofing Security : Built-in liveness detection prevents photo/video fraud
- Multi-Geofence Location Support : Configure multiple geofence locations such as offices, branches, warehouses, factories, or project sites.
- Geofencing Validation : Attendance is allowed only within a configured geographic radius from the company location (latitude/longitude), ensuring on-site presence.
- GPS Integration : Automatic location capture and address resolution
- Instant Attendance Logging : Attendance records are created instantly with accurate timestamps.
- Supports Multiple Work Locations : Ideal for organizations with distributed teams, multiple branches, or field employees.
- Contactless Operation : Hygienic, touchless attendance marking
- Real-time Processing : Instant check-in/check-out with immediate feedback
- Seamless Integration : Works perfectly with existing Odoo HR modules
1. Face Recognition Attendance with GPS Tracking and Geofencing Control.
Go to apps and search Face Recognition Attendance with GPS Tracking and Geofencing Control and activate module.
2. Employee Configuration.
Go to Employee module.
Upload employee image and click on "Generate Face Encoding".
3. Multi Geofencing Locations Configuration.
In the Attendance Settings, you can configure the Face Attendance Location
by specifying the latitude and longitude of your company's location.
Additionally, you can define the Face Attendance Radius (in meters), which
determines the allowable distance from the company location.
Here, you can see that we have configured multiple locations for attendance.
If an employee is present at the Pinacale location and is within the defined
radius, they can successfully mark their attendance from that location.
Similarly, employees at the Live location can also mark their attendance, as
long as they are within the allowed radius of that location.
4. Face Attendance.
Go to attendance module and click on Face Attendance.
5. Face Recognition Page.
When you click on Face Attendance, you will be redirected to the Face Recognition page. To mark attendance for Check-In or Check-Out, click on Face Recognition. To verify your current location, click on Test Location.
6. Face Recognition.
When you click on Face Recognition, a small video box will appear. Look directly into the camera and wait for the process to complete.
7. Attendance Success.
Once your face is recognized, the system will display a success message confirming your Check-In or Check-Out, along with the corresponding time and location.
8. Geofencing Locations Configuration.
The Pinacale location is far away from my current location, so if an employee is at Pinacale, they can mark their attendance, but only if they are within the 2-meter radius defined.
9. Attendance Location Restriction.
The system has detected that you are currently located 5998 meters away
from the configured office location. For security and accuracy, attendance
marking (Check-in or Check-out) is restricted to within a 2-meter radius of
the designated office location.
Please ensure you are physically present at the office to mark your
attendance.
- We provide 90 days bug-free support related to our module.
- We provide 5 hours of free configuration support. Additional configuration or customization is billable.
- The support team is available from Monday to Friday 10:00 AM to 07:00 PM (IST).
- To create a ticket, send an email to support@techultra.in.
The Face Recognition Attendance System is a contactless, AI-driven attendance solution that identifies employees using advanced facial recognition technology. It integrates seamlessly with the Odoo HR module to enable real-time attendance tracking. The system also supports GPS based multi geofencing locations, ensuring that employees can check in or check out only when they are physically present within the configured companies locations and defined radius.
Our system uses AI-powered facial recognition algorithms with over 99% accuracy, ensuring reliable attendance logging even in varying lighting conditions and environments.
No. The system is completely contactless, promoting hygiene and safety. Employees simply look into the camera to mark their attendance.
Check-in and check-out are instantaneous, with real-time feedback provided to the employee. The system processes and logs data within seconds.
Absolutely. The system is built for seamless integration with existing Odoo HR modules, including Employee Management, Leave Tracking, and Attendance Reporting.
Multi Geofencing allows organizations to define a companies locations using latitude and longitude along with a configurable radius in meters. Employees must be physically present within this defined area to successfully mark attendance. If the employee is outside the permitted radius, the system automatically blocks check-in or check-out.
Yes, the system automatically captures GPS coordinates during attendance marking, validates the employee's distance from the company location, and resolves the address for accurate location verification.
Yes, the system provides instant feedback during check-in and check-out, allowing employees to know immediately whether attendance has been successfully recorded or restricted due to location validation.
Yes. The system supports both check-in and check-out using face recognition with geofence validation.
Related Products
Odoo Proprietary License v1.0 This software and associated files (the "Software") may only be used (executed, modified, executed after modifications) if you have purchased a valid license from the authors, typically via Odoo Apps, or if you have received a written agreement from the authors of the Software (see the COPYRIGHT file). You may develop Odoo modules that use the Software as a library (typically by depending on it, importing it and using its resources), but without copying any source code or material from the Software. You may distribute those modules under the license of your choice, provided that this license is compatible with the terms of the Odoo Proprietary License (For example: LGPL, MIT, or proprietary licenses similar to this one). It is forbidden to publish, distribute, sublicense, or sell copies of the Software or modified copies of the Software. The above copyright notice and this permission notice must be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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Inquiry for facial recognition
If I purchase the version 18, can I re-use the code for version 14, because the current server we have is version 14.
Do you have demo for this, so that we can test before we purchase?
Thanks,