Framework

---

Table of contents

• Framework
  • Project Diagram
    • bqcore
    • Interfaces
  • System Requirements
    • Operating System
    • Runtime
    • Performance Benchmark

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Project Diagram

The openbq framework consists of the bqcore backend service, a command line interface, and a desktop app.

---
title: openbq
config:
  theme: neutral
  layout: elk
---
graph TD
  core((bqcore service)) --> cli(bqconnect CLI)
  core --> gui(bqconnect Desktop)

bqcore

The core component of openbq implement various vendor algorithms, including face, fingerprint, iris and voice processing engines.

It will analyse the input biometric files and produce the quality metrics.

---
title: bqcore
config:
  theme: neutral
  layout: elk
---
graph LR
    input(Biometric files) --> core{bqcore}
    core{bqcore} --> face(Face)
    core{bqcore} --> finger(Fingerprint)
    core{bqcore} --> iris(Iris)
    core{bqcore} --> speech(Speech)

Interfaces

bqcore service is exposed via command line interfaces.

---

---
title: bqconnect CLI
config:
  theme: neutral
  layout: elk
---
graph LR
    input(Input Folder) --> cli{Command Line}
    cli{Command Line} --> report(EDA Report)
    cli{Command Line} --> output(CSV)
    cli{Command Line} --> log(Log)

• The bqconnect CLI provides treminal commands to interact with bqcore service.

• It takes a folder in your file system as input and produces the raw metrics in CSV along with a EDA report.

• It is distributed as Docker container as well as a Python entry point application.

System Requirements

Operating System

• x86, ARM platform
• Linux, Windows, macOS

Since data processing is compute-intensive, you may want to allocate more cpu/memory with the host machine for better performance and stability.

Runtime

openbq deliverables are packaged as Docker containers, you will need Docker engine to host the container.

Performance Benchmark

Test Platform 1: 6/12 cores, amd64, Ubtuntu 25.10, 16 GB of RAM.

Mode	Throughput (per second) | (per hour)
Face (openbq)	9.86 | 35,496
Face (OFIQ)	1.02 | 3,672
Face (BIQT)	3.75 | 13,500
Fingerprint (NFIQ2)	7.16 | 25,776
Iris (BIQT)	18.63 | 67,068
Speech (NISQA)	0.77 | 2,772

Test Platform 2: 14 cores, arm64, macOS 15.6.1, 32 GB of RAM.

Mode	Throughput (per second) | (per hour)
Face (openbq)	53.94 | 194,184
Face (OFIQ)	2.08 | 7,488
Face (BIQT)	8.54 | 30,744
Fingerprint (NFIQ2)	14.54 | 52,344
Iris (BIQT)	40.14 | 144,504
Speech (NISQA)	1.50 | 5,400

As new quality metrics added to the engine, the benchmark number above might not reflect the current status of the project.