📄
Sunbird Saral
  • Sunbird Saral Overview
  • Saral Quick Guide
  • Saral Implementation Manual
    • OMR led scanning - Assessments
    • OCR led scanning - Admissions
  • Saral Transformation Story
  • LEARN
    • Software Requirement
    • Application Architecture
    • Features
      • Configurable Branding
      • Capture AI/ML Training Data
      • Support
      • Share App data
      • Auto Sync
      • Multi-Page support
      • Profile Menu
      • Dynamic Validations
      • Dynamic Tagging
      • Minimal Mode
      • Offline mode
      • App Force Update
      • Review results/marks
      • Firebase Analytics and Crashlytics
      • ML model deployment using Firebase
      • Improved Low light Performance - Manual Edit
      • Vertical Forms Scanning Support
      • Improve Processing Speed for big layouts
      • Admissions Data Capture
      • Securing PII Data Capture - Admissions
    • Specifications
      • Layout specification
      • Backend API Swagger Doc
    • Videos
      • Feature Explanation
        • OMR Layout scanning
        • Auto-Sync
        • Share scan app data
        • Skip feature
        • Support feature
        • Validation feature
        • Incorrect scanning
        • Multi-page feature
        • Branding feature
        • Offline mode
        • Review results/marks
      • Usage by States
        • Gujarat Implementation - Between 39:00 - 40:00 mins
        • Uttar Pradesh(U.P) , Gorakhpur Implementation
    • ML Model Accuracy/Results
  • USE
    • Roadmap
    • Workspace Setup - Playbook
    • Saral App Reference Backend
    • Generating APK from source code
    • Generate AAB(App bundle) from source code
    • Sign already generated APK file with private Key
    • Layout configuration
    • Debug/Run Saral App from Android Studio
    • Saral App Debug Tips
    • Saral App Usage Guidelines
    • Update BASE_URL,apkURL in APK
    • Update BASE_URL,apkURL in AAB
    • Sign already generated AAB(Android App Bundle) file with private key
    • Google Play Store App Publish Considerations
    • Layout Design Guidelines
    • Saral OCR Assets
    • Firebase setup for Saral App Telemetry
    • Firebase setup for TFLite model deployment
    • Alternatives for Saral components
  • ENGAGE
    • Source Code Repository
    • Saral SDK Source Code Repository
    • Tracker
    • Releases
      • v1.0.0-beta.1
      • v1.0.0-beta.2
      • v1.0.0-beta.3
      • v1.0.0-beta.4
      • v1.0.0-beta5
      • v1.5.0
      • v1.5.1
      • v1.5.2
      • v1.5.3
      • v1.5.4
      • v1.5.5
      • v1.5.6
      • v1.5.7
      • v1.5.9
      • v1.6.0
      • v1.6.1
      • v1.6.2
      • v1.7.0
    • Saral - Solution Providers
    • Discuss
  • Experience Saral
  • Dev Environment - Installation & Maintenance
    • Saral Installation Guide (Non-Prod)
    • Saral - Sandbox Maintenance Guide (Non-Prod)
  • Saral Easy Installer
    • Saral Production-Environment User Installation Guide
      • Manual Installation for Prod
      • Automating the Infra provisioning and install of the Saral application
        • Prerequisites
        • What automation does
        • Run installer
        • Post install steps
        • Monitoring-Stack
    • Reference Documents
      • SARAL Infra Requirements & Associated Cost
      • Saral Infra Cost Benefit Analysis
  • Tool for Saral Easy Layout generation and Auto generate ROI json
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  1. USE

Saral App Usage Guidelines

Guidelines how to use the Saral App

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Last updated 3 years ago

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  1. Make sure scanning with Mobile/Tab happens in Landscape mode(shown in Figure#1 below). (Figure#1)

2. Printed layouts have 4 dark circles on the corner of the sheets(shown in Figure#2). Make sure these are printed with a proper quality printer. Avoid xerox copies of these layouts.

(Figure#2)

3. Make sure the user is holding the device is in a stable state until the predictions appear on the App screen.

4. For OMR sheets make sure bubbles are filled using a blue or black ball pen without any gaps for proper detection.

5. Minimum width and height between dark circles for each layout can be configured in the backend layout json as threshold. This will have addtional check to layout detection logic. Only if minimum width and height requirement configured in layout is met , layout detection succeeds. App shows warining message as show in below screenshot if minumum height and width is not met. This feature is available from v1.5.0 release

(Figure#3) Warning when threshould is configured in layout json and criteria is not met.

6. Succesful scan from Saral App will have indications shown in below Figures.

(Figure#4) Detected the layout to be processed for detection.

(Figure#5) Processing detected layout for predictions. Make sure the "Please wait, scanning is in progress !!" message in blue colour is in the same direction as the layout. If both of them are oriented in a different direction then its the wrong way to scan.