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features
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support

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Description

Info-Tech’s Biometric Authentication System (BAS) is specifically crafted to assist construction firms in Singapore in meeting the Building & Construction Authority (BCA) regulations for worksites that have a Gross Floor Area (GFA) of 5,000 m² or larger. This innovative system integrates turnstiles, facial and fingerprint recognition technologies, along with cloud-based software, streamlining the process of worker entry and automating the electronic Pre-Submission System (ePSS) reporting. With ready-to-upload ePSS files, the manpower information is pre-formatted to align with BCA standards, ensuring compliance. The system guarantees zero formatting errors, as the data is automatically transmitted in the correct format without manual intervention. This leads to faster submissions, allowing construction companies to save precious time during each reporting cycle. Moreover, by adopting this cutting-edge technology, builders can position themselves at the forefront of compliance advancements in the industry. Ultimately, Info-Tech’s BAS is not only a solution for current needs but also a strategic investment for future growth and efficiency.

Description

Created by experts at Oz Forensics, the biometric module utilizes cutting-edge artificial intelligence techniques and undergoes regular enhancements through ongoing data updates. In 2020, their face recognition algorithm recorded exceptional accuracy rates on the LFW dataset during testing at the University of Massachusetts, showcasing its effectiveness. The Oz Biometry module provides rapid identification capabilities, achieving speeds of under one second with an impressive accuracy of 99.87%. With the advent of front-facing cameras on smartphones since the early 2010s, facial biometrics have emerged as a convenient method for user authentication. This technology can be employed not only during the registration phase but also for searching and verifying identities against extensive biometric databases. Additionally, facial biometrics play a crucial role in the KYC (Know Your Customer) process, where selfie images are matched with document photos to verify user identity and check their status against biometric “black” and “white” lists. This integration of facial recognition into daily security measures enhances both user experience and safety.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

No images available

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

$2
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App Yes 
iPad App Yes 
Android App Yes 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook Yes 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App Yes 
iPad App No 
Android App Yes 
Windows No 
Mac No 
Linux Yes 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Info-Tech Systems Ltd

Founded

2007

Country

Singapore

Website

www.info-tech.com.sg/biometric-authentication-system

Vendor Details

Company Name

Oz Forensics

Founded

2017

Country

United Arab Emirates

Website

ozforensics.com

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