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Artificial Intelligence (AI) Facial Recognition & Detection
System detects and identify faces
AI Facial Recognition for the Automation of Employee Timesheets
A facial recognition system was developed with the aim to eliminate the manual process of collecting and tracking employee timesheets. The technology serves as a digital mechanism to detect and track employee arrival and departures throughout a work shift. We developed a comprehensive computer vision model capable of reliably detecting individuals through facial recognition techniques. This model assists in making more accurate and efficient decisions, even when adjusted across different employee populations.We combined face detector and face classification:
- Facial Recognition: Detect and isolate facial images to be processed by classifications model
- Classification Model: Deep learning used to identify individual
Domain:
Fintech
Algorithm:
U-Net
Tech Used:
Configure & Train Model
Detect & capture face data from video or image source
Map up to 68 facial features to create a facial signature or faceprint.
Recognition & Detection
Compare against a database of known faces for automatic recognition.
Configure
Capture Facial Data
Map Facial Data
Facial Detection
Comparative Analysis
Classification Model
Lightweight Deep Learning Model
Dense Network is used to improve perfomance
Facial reocgnition data is processed and identified with Facenet & InsightNet
Facial Recognition Model
MTCNN is used to detect and align faces
Large data is used to train MTCNN with high accuracy
MTCNN mobile application support is enabled
Ready to dive into the world of Arifticial Intelligence (AI)?
Contact us today and see how we can integrate AI into your business!
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