Trekomatic: Advanced Facial Recognition and Analytics System

Kamran Ul Haq

0

Project Manager

Software Architect

Software Engineer

C#

Microsoft SQL Server

Power BI

Project Overview:
Trekomatic is an innovative facial recognition, people counting, and Automatic Number Plate Recognition (ANPR) system designed to provide comprehensive security and analytics solutions across various sectors. Developed to meet the versatile needs of our clients, including corporate entities, residential complexes, and retail environments, Trekomatic leverages state-of-the-art technology to enhance operational efficiency, security, and marketing effectiveness. By integrating advanced machine learning algorithms and real-time data processing, Trekomatic offers unparalleled accuracy in facial recognition, vehicular management, and consumer behavior analytics.
Role and Contributions:
As the project manager, I led a dedicated team of developers in the creation of the VisionTech system, overseeing every phase of its development from conceptualization to deployment. My responsibilities included defining project objectives, coordinating with stakeholders to ensure the system met diverse client needs, and managing the technical development to adhere to high standards of accuracy and reliability. I facilitated cross-functional collaboration among team members, ensuring that the integration of facial recognition, ANPR, and people counting technologies was seamless and effective. My strategic oversight and commitment to innovation were instrumental in delivering a system that not only meets but exceeds client expectations, establishing VisionTech as a versatile and powerful tool in the fields of security and analytics.
Project Highlights
Facial Recognition for Access Control: Utilized in corporate and residential settings to provide secure and convenient entry based on facial recognition, significantly enhancing security while streamlining access protocols.
ANPR for Efficient Vehicular Management: Deployed in parking facilities to automatically recognize number plates, facilitating smooth entry and exit for vehicles with season passes, and improving parking space management.
People Counting and Sentiment Analysis in Malls: Employed in retail environments to monitor foot traffic and analyze facial sentiments, enabling retailers to gauge customer satisfaction and optimize store layouts for enhanced shopping experiences.
Targeted Advertising: Integrated with digital advertising screens to display age and gender-specific advertisements, maximizing marketing impact by tailoring content to the demographic composition of the audience in real-time.
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Posted Apr 1, 2024

Advanced security & analytics dashboard for facial recognition, people counting, and ANPR. Sleek, real-time insights.

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Project Manager

Software Architect

Software Engineer

C#

Microsoft SQL Server

Power BI

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