Web AR Image Tracking Component Development need Web Development

Contact person: Web AR Image Tracking Component Development

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Location: Bangkok, Thailand

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"1. Executive Summary
This acceptance document defines the requirements and criteria for the development of a web-based augmented reality image tracking component for Stories AR content viewing. The web component must deliver production-ready performance, accuracy, and compatibility that meets or exceeds industry standards while providing seamless AR experiences across multiple devices and browsers.
2. Project Scope
2.1 Primary Objective
Develop a web-based AR image tracking component capable of real-time image detection and tracking through device cameras while maintaining production-quality performance comparable to native mobile applications.
2.2 Key Deliverables
Complete web AR tracking component
Multi-image tracking support (up to 5 concurrent targets, up to 100 targets per session)
Cross-browser compatibility implementation
Performance optimization for mobile devices
Comprehensive testing to meet the requirements
Integration documentation and examples
3. Functional Requirements
3.1 Image Tracking Core Features
3.1.1 Real-Time Image Detection
REQUIREMENT: Component must detect predefined image targets within 1 second of appearance in camera view
ACCEPTANCE CRITERIA:
Detection latency ≤ 1 second measured from target appearance to initial recognition
Successful detection rate ≥ 95% under optimal lighting conditions
False positive rate ≤ 2%
3.1.2 Multi-Target Tracking
REQUIREMENT: Simultaneously track up to 5 different image targets
ACCEPTANCE CRITERIA:
All 5 targets trackable simultaneously without performance degradation >15%
Individual target switching without re-initialization delay
Proper target identification with unique ID assignment
3.1.3 Target Image Specifications
REQUIREMENT: Support various image formats and characteristics
ACCEPTANCE CRITERIA:
Support JPEG format
Minimum target resolution: 240x240 pixels
Maximum target resolution: 2048x2048 pixels
Aspect ratio support: 1:4 to 4:1
3.1.4 Session Image Management
REQUIREMENT: Support large image target libraries within a single tracking session
ACCEPTANCE CRITERIA:
Session capacity: up to 100 different image targets loaded simultaneously
Active tracking: maximum 5 targets tracked concurrently at any given moment
Target switching: ability to seamlessly switch between any of the 100 loaded targets without re-initialization
Bulk loading: support for loading all 100 targets during session initialization with progress indication
3.2 Tracking Accuracy Requirements
3.2.1 Pose Estimation Accuracy
REQUIREMENT: Accurate 6DOF pose tracking for AR overlay positioning
ACCEPTANCE CRITERIA:
Translation accuracy: ±2% of target dimensions
Rotation accuracy: ±3 degrees in all axes
Scale detection accuracy: ±5%
Tracking stability with <1cm jitter at 30cm viewing distance
3.2.2 Environmental Robustness
REQUIREMENT: Maintain tracking across various environmental conditions
ACCEPTANCE CRITERIA:
Lighting Conditions:
Optimal lighting (500-1000 lux): 95% tracking success rate
Low light (50-200 lux): 80% tracking success rate
Bright light (>2000 lux): 85% tracking success rate
Partial shadows: 75% tracking success rate
Target Conditions:
Full target visible: 95% tracking success
70% target visible: 80% tracking success
50% target visible: 60% tracking success
Slight rotation (up to 45°): 85% tracking success
Distance variation (20cm-2m): 90% tracking success
Motion Handling:
Smooth camera movement: maintain tracking
Rapid movement recovery: <1s re-acquisition
Target re-entry: <1s re-detection
3.2.3 Detection and Tracking Range Requirements
REQUIREMENT: Ensure reliable detection and tracking across practical distances and angles.
ACCEPTANCE CRITERIA:
Combined Distance + Angle Performance:
· Optimal zone (30 cm – 1 m, 0 ° – 30 °): ≥ 95 % success.
· Standard zone (15 cm – 1.5 m, 0 ° – 45 °): ≥ 85 % success.
· Extended zone (1.5 m – 3 m, 0 ° – 30 °): ≥ 80 % success.
Automatic size compensation must maintain tracking as the apparent target size scales with distance.
4. Performance Requirements
4.1 Frame Rate Performance
REQUIREMENT: Maintain smooth AR experience and responsive camera feed
ACCEPTANCE CRITERIA:

Camera Feed Display:

High-end mobile (iPhone 12+, Samsung Galaxy S21+): ≥30 FPS camera feed
Mid-range mobile (iPhone XR, Samsung Galaxy A52): ≥30 FPS camera feed
Budget mobile: ≥25 FPS camera feed
Camera feed must remain smooth even during intensive tracking operations

Image Tracking Processing:

High-end mobile: ≥30 FPS tracking updates
Mid-range mobile: ≥25 FPS tracking updates
Budget mobile: ≥20 FPS tracking updates
Frame time consistency: 95% of frames within ±20ms of target frame time
4.2 Initialization Performance
REQUIREMENT: Quick startup and target preparation
ACCEPTANCE CRITERIA:
Component initialization: ≤2 seconds
Target preparation: ≤ 0.1 second per target
Camera access setup: ≤3 seconds
First detection capability: ≤3 seconds from component start
5. Device and Browser Compatibility Requirements
5.1 Mobile Device Support
REQUIREMENT: Function on the same hardware capable of running native Stories AR applications
ACCEPTANCE CRITERIA:

iOS Devices:

iPhone 8 and newer models
iPad (6th generation) and newer
Compatible with devices supporting native ARKit applications
Performance within 15% of equivalent native AR app performance

Android Devices:

Android 8.0 (API level 26) and newer
Devices with ARCore support capability
Mid-range and flagship devices from major manufacturers
Performance within 15% of equivalent native AR app performance

Hardware Requirements:

Minimum 3GB RAM
Rear-facing camera with autofocus
Gyroscope and accelerometer sensors
OpenGL ES 3.0 support or equivalent
5.2 Browser Compatibility
REQUIREMENT: Full functionality across major mobile browsers
ACCEPTANCE CRITERIA:

iOS Safari:

Minimum version: iOS 13.0+
WebRTC camera access working
Performance within 20% of native app performance

Chrome Mobile (Android):

Minimum version: Chrome 90+
Performance within 15% of native app performance

Samsung Internet:

Minimum version: 14.0+
Full feature compatibility with Chrome Android

Firefox Mobile:

Minimum version: 90+
Reduced performance acceptable (70% of Chrome performance)
5.3 Web Technology Dependencies
REQUIREMENT: Proper handling of browser capability detection
ACCEPTANCE CRITERIA:
Camera access (getUserMedia) support detection and graceful fallback
Hardware acceleration availability detection
Device motion sensor access when available
Fullscreen API support where possible
Automatic performance scaling based on device capabilities
6. Technical Implementation Requirements
6.1 User Experience Focus
REQUIREMENT: Seamless AR experience comparable to native applications
ACCEPTANCE CRITERIA:
Smooth camera preview without stuttering or lag
Responsive interactions during AR sessions
Consistent performance across supported device range
Graceful handling of device limitations
6.2 Computer Vision Implementation
REQUIREMENT: Efficient image tracking algorithms
ACCEPTANCE CRITERIA:
Robust tracking algorithm for continuous monitoring
Accurate pose estimation
6.3 Camera and Video Processing
REQUIREMENT: Optimal camera handling and video processing
ACCEPTANCE CRITERIA:
Automatic camera resolution selection optimized for performance
Video frame processing at best resolution
Proper aspect ratio handling across different screen sizes
Frame rate adaptation based on processing capability
Efficient memory management for video frames
7. Quality Assurance Requirements
7.1 Testing Scope
REQUIREMENT: Comprehensive testing across scenarios and devices
ACCEPTANCE CRITERIA:
Functional testing on minimum 10 device/browser combinations
Performance testing under various load conditions
Environmental testing (lighting, distance, angle variations)
Stress testing with extended usage sessions (>30 minutes)
Memory leak testing and resource cleanup verification
7.2 Benchmark Comparisons
REQUIREMENT: Performance comparison against reference implementations
ACCEPTANCE CRITERIA:

vs. Native Stories AR Apps:

Detection accuracy: ≥90% of native performance
Tracking stability: ≥85% of native performance
Frame rate: ≥80% of native performance
Feature detection speed: ≥75% of native performance

vs. MyWebAR Platform:

Detection accuracy: ≥95% of MyWebAR performance
Browser compatibility: match or exceed MyWebAR support
Loading time: ≤MyWebAR initialization time
7.3 Error Handling and Fallbacks
REQUIREMENT: Robust error handling and graceful degradation
ACCEPTANCE CRITERIA:
Clear error messages for unsupported browsers/devices
Camera permission denial handling
Graceful degradation for low-performance devices
Network connectivity loss handling
Target image loading failure recovery
8. Production Readiness Criteria
8.1 Code Quality Standards
REQUIREMENT: Production-grade code implementation
ACCEPTANCE CRITERIA:
Documentation coverage ≥80% for critical code functions
Future optimization documentation
8.2 Security Requirements
REQUIREMENT: Secure implementation following web security best practices
ACCEPTANCE CRITERIA:
No arbitrary code execution vulnerabilities
Secure camera access implementation
Content Security Policy compatibility
No sensitive data exposure in client code
8.3 Deployment Readiness
REQUIREMENT: Component ready for production deployment
ACCEPTANCE CRITERIA:
Minified and optimized build process
Integration documentation with code examples
9. Acceptance Testing Procedures
9.1 Functional Testing
Multi-Target Detection Test

Load 50 different target images
Verify simultaneous detection of up to 5 targets and tracking
Measure resource usage during multi-target operation
Confirm unique identification of each target

Environmental Robustness Test

Test under specified lighting conditions
Verify tracking with partial occlusion
Test with various viewing angles and distances
Confirm tracking stability during movement" (client-provided description)


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