Impiger Technologies logo

Securing Beneficiary Verification with Impiger’s NUSAF3 Biometric System for Northern Uganda Social Action Fund

Government / Social Development

Industry

6 Months

Duration

Mobile

Platform

Mobile Application Development, Biometric Authentication, Payment Process Digitization

Services

Improved accountability in fund distribution, reduced fraud, faster beneficiary verification

Impact Metrics

Overview of the Project

Impiger developed a real-time biometric mobile application to ensure unique registration and verification of all NUSAF3 beneficiaries. The solution provides secure attendance capture, special payment procedures, and data-driven reporting to ensure accountability in fund distribution for Uganda’s social development initiatives.

Challenges

  1. Fraudulent claims and duplicate beneficiary registrations.
  2. Inefficient manual attendance tracking.
  3. Lack of transparency in fund allocation.
  4. Difficulty generating timely accountability reports.
  5. Limited visibility into beneficiary-level data.

Approach

  1. Built a real-time biometric authentication system to uniquely identify beneficiaries.
  2. Designed a mobile app to capture attendance and support field operations.
  3. Implemented secure payment workflows tied to verified beneficiaries.
  4. Integrated a reporting engine for data-driven accountability and audit readiness.
  5. Ensured offline-first functionality to support rural and low-network regions.

Key Components / Integrations

Biometric Registration & Verification – Unique ID-based beneficiary validation.

Beneficiary Profile Management – Captures demographic and dependent details.

Payment Tracking Module – Special payment procedures linked with verified records.

Reporting System – Generates accountability and fund utilization reports.

Offline Data Capture – Synchronization when internet connectivity is restored.

Accelerators / IP Used

Leveraged Impiger’s biometric authentication accelerator and mobile-first accountability framework, reducing deployment time and ensuring robust verification.

Outcomes / Impact

  1. Eliminated fraudulent claims by enabling unique biometric verification.
  2. Improved accountability through reliable fund distribution tracking.
  3. Faster verification process for beneficiaries at the point of service.
  4. Data-driven decision making with accurate real-time reports.
  5. Greater transparency, restoring trust in fund allocation.

Before

  1. Manual beneficiary attendance tracking.
  2. High risk of duplicate or fake registrations.
  3. Weak accountability in fund utilization.
  4. Delays in reporting and auditing.

After

  1. Biometric-based unique registration and attendance.
  2. Fraud-proof beneficiary verification.
  3. Real-time accountability reports.
  4. Efficient fund disbursement with full transparency.

What’s Next

Future roadmap includes expansion to multi-program biometric verification, integration with national ID systems, and AI-based fraud detection analytics.

Like to know more? Talk to our experts who worked on the project.

    Close Search

    Most searched

    Generative AI
    Intelligence
    Cloud
    Managed Service
    Careers
    Management team