KritiKal Solutions Inc. is a premier technology services firm with a global footprint and over 22 years of experience. It excels in product engineering, R&D, and cutting-edge innovation and has catered to its clients through over 500 projects with its deep expertise across AI-driven vision systems, embedded technologies, and cloud and mobile software solutions.

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sales@kritikalsolutions.com

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(0120) 692 6600

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+1 (913) 286 1006

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Digitizing Decision Making and Streamlining Business Operations

Category:
AI / Security

The Problem Statement

A global IT services leader faced challenges with outdated security software at government checkpoints. Granting access to military bases is a critical task for security staff, especially with rising threats. Traditional methods such as ID scanners and authorization lists were inefficient, leading to long wait times, delays, and poor user experience, while also increasing the decision-making burden on security personnel. 

The client sought to leverage emerging technologies to improve security operations and decision-making at entry points. 

Challenges Faced:

  1. Human Errors and Vulnerability: Manual errors in authentication and access control posed risks to high-security zones. 
  2. Data Silos and Authentication Issues: Legacy systems lacked integration, reducing efficiency and security. 
  3. Operational Inefficiency: Many processes were slow and error-prone, lacking access logs to trace the identity of individuals. 
  4. Outdated Security Systems: Existing systems could not meet evolving security needs. 
  5. Increased Threats: Rising security threats demanded more advanced security measures. 
  6. Inefficiency of Traditional Methods: ID scanners and lists couldn’t handle security and efficiency needs. 
  7. Long Wait Times and Poor User Experience: Delays added operational pressure and affected user experience. 
  8. Burden on Security Personnel: Inefficient systems increased the decision-making load and risk of errors. 
  9. Need for Advanced Technology: Emerging tech like IoT and AI was underutilized in improving security operations. 

The Solution

We developed a digital platform that integrates advanced analytics and AI to enforce consistent security policies and reduce wait times, enhance decision-making, and improve user experience. This solution automates workflows and optimizes the entry control process, reducing risks to Navy operations.

Key Components:

  1. Entry Gate Checkpoints: Designed to reduce transaction time (aiming for 7 seconds per vehicle), the system implemented automated multi-factor authentication using vehicle identification, ID badges, and facial recognition. 
  2. Multifactor Authentication Workflow: 
    1. A vehicle’s UHF RFID tag or License Plate Recognition (LPR) identifies it at a “soft” chokepoint. 
    2. At the sentry, the driver scans their ID badge, and facial recognition matches the driver’s image with their credentials. 
    3. A green light indicates successful entry; a red light triggers an alert if there’s a mismatch. 
  3. Enhanced User Experience: The system utilized open-source, API-driven applications for flexibility and integrated components like identity credential logs and video management platforms to enhance reliability. The dashboard displays transaction events and decision outcomes, enabling security personnel to manage access efficiently. 

Our advanced digital solution significantly improved security checkpoint efficiency and accuracy while enhancing the user experience. By integrating AI and IoT technologies, the system streamlined access control, reduced errors, and optimized decision-making, addressing the security challenges faced by the client. 

Value Add Delivered

During a live demonstration at a two-lane gate, the system was compared to the legacy system. The results were impressive: 

  • Efficiency: The system processed three vehicles in the time it took to process one with the legacy system, with an “Accept” or “Deny” decision made in about two seconds. 
  • Reliability: The system achieved 100% accuracy in granting or denying access based on identity verification, even identifying instances where stolen credentials were used.