Architecture Overview
Comprehensive system architecture documentation covering the C Pro camera server design, components, interactions, and lifecycle.
System Overview
The C Pro camera server is a high-performance, embedded-first camera management system built with the Nim programming language. It provides real-time video streaming, recording, hardware control, and remote management through multiple API protocols.
D2 --> F2
D2 --> F3
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D1 --> E1
D2 --> E1
D3 --> E1
D4 --> E2
D4 --> E3
D4 --> E5
D1 --> E5
C4 --> F1
D2 --> F2
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System Architecture Principles
1. Embedded-First Design
- Minimal Resource Footprint: Optimized for ARM64 embedded systems with limited RAM/CPU
- Static Compilation: Single binary deployment with no runtime dependencies
- Cross-Platform: Runs on Linux x86_64, ARM64, and embedded platforms
2. Real-Time Synchronization
- Observable State Pattern: Automatic change propagation to all connected clients
- WebSocket Push: Sub-100ms state update latency
- Conflict Resolution: Last-write-wins with permission validation
3. High-Performance Video Processing
- Zero-Copy Pipeline: Minimal memory allocations in video path
- Hardware Acceleration: FPGA offloading for image processing (rc_DMG variant)
- Parallel Streaming: Multiple simultaneous RTSP/WebRTC streams
4. Security by Design
- Multi-Layer Authentication: Basic, Digest, Bearer, Session authentication
- Granular Permissions: 9 permission types with role-based access
- Encrypted Storage: TLS/SSL for network transport, encrypted configuration
Core Components
Application Entry Point
File: rotordream.nim
The main application initializes core subsystems in a specific order:
# Application startup sequence
when defined(embeddedSystem):
rescueOldSystemSettings()
import corun # Async runtime
CamClient.start() # Initialize camera subsystem
initState() # Initialize all state modules
setUpdate proc() =
# Main event loop
HttpApiSynchronizer.poll()
updateState()
Initialization Order:
1. Factory Configuration - Load build-time variant settings
2. Camera Client - Start V4L2/GStreamer camera pipeline
3. State Modules - Initialize 50+ observable state modules
4. Network Services - Start HTTP, WebSocket, RTSP, ONVIF servers
5. Event Loop - Enter Corun async event loop
State Management System
Location: src/state/
The heart of the system is the centralized observable state management pattern. See State Management Architecture for details.
Key Characteristics:
- 50+ State Modules: Each managing a specific domain (camera, network, recording, etc.)
- Type-Safe Updates: JSON-based with validation
- Permission-Controlled: Every observable has read/write permissions
- Persistent: Critical state saved to LevelDB
- Change Observers: Automatic notification on state transitions
Example State Module Structure:
# src/state/rc_light.nim
import ./observable
var light0* = newObservable(false, StatePermission.readWrite)
proc initRCLight*() =
initObservable("light0",
permissionRead = {Light_r, Light_rw},
permissionWrite = {Light_rw},
default = %*false,
save = true
)
light0.addObserver(proc(oldVal, newVal: bool) =
# Apply hardware change when state updates
setPwmLightLevel(0, if newVal: 100 else: 0)
)
Camera Pipeline
Location: src/camserver/
High-performance video capture and processing pipeline. See Camera Pipeline for details.
Components:
- cam.nim: Main camera interface
- camClient.nim: Camera client coordination
- v4l2_dev_interface.c: Low-level V4L2 device access
- gst_device.c: GStreamer device enumeration
- streamer.nim: RTSP/WebRTC streaming
- jpg_encoder.c: JPEG frame encoding
API Servers
Location: src/servers/
Multiple protocol servers for different integration needs:
| Server | Protocol | Port | Purpose |
|---|---|---|---|
| HTTP | REST/HTTP | 80 | Configuration, file upload/download |
| HTTPS | REST/HTTPS | 443 | Secure configuration access |
| WebSocket | WS/WSS | 80/443 | Real-time state synchronization |
| RTSP | RTSP/RTP | 554 | Video streaming (VLC, FFmpeg) |
| WebRTC | WebRTC/STUN | Dynamic | Browser-based streaming |
| ONVIF | SOAP/HTTP | 80 | NVR/VMS integration |
Key Files:
- httpapi.nim: HTTP REST API handler
- webserver.nim: HTTP/HTTPS server setup
- websocketApiV1Handler.nim: WebSocket state API
- onvif.nim: ONVIF protocol implementation
- clients.nim: Connected client management
Storage System
Location: src/storage/, src/state/binary_storage.nim
Multi-tiered storage architecture:
Storage Layers:
1. LevelDB (LocalStorage): Fast key-value store for state persistence
2. SQLite (metadata_store.nim): Structured metadata for recordings
3. Filesystem: Video/image files organized by date
4. Network Storage: Optional SMB/NFS for centralized storage
System Lifecycle
Startup Sequence
Detailed Initialization Order (from src/state/state.nim):
proc initState*() =
# 1. Factory configuration
initFactoryConfig()
initRCNotifications()
# 2. Core system modules
initRCApi()
initRCSystemInfo()
initRCVersion()
# 3. Hardware abstraction
initRCCameraHeads()
initRCLight()
initRCAutoRotate()
initRCDiscRotation()
# 4. Sensor monitoring
initRCHeadSensors()
initRCHeadTempDiagnose()
initRCPressureDiagnose()
initRCFpgaTemp()
# 5. Camera configuration
initRCImageSettings()
initRCStreamSettings()
initRCZoom()
initRCPip()
initRCStreamAlignment()
# 6. Recording system
initRCRecordingModus()
initRCRecording()
initRecords()
initRCTagCategories()
# 7. Storage configuration
initRCDiskStorage()
initRCStorageNet()
initRCStorage()
# 8. Network services
initRCNetwork()
initRCTime()
initRCRtspStream()
initWebrtcState()
initRCOnvifStream()
initKIStream()
# 9. Security
initRCUser()
initRCLicenses()
# 10. Servers and API
initRCWebserver()
initRCUrls()
initRCUpdate()
initRCRestart()
Why Order Matters:
- Factory config must load first (provides variant-specific defaults)
- Hardware initialization before configuration (detect capabilities)
- Storage before recording (metadata database ready)
- Network before servers (IP configuration ready)
- User management before API servers (authentication ready)
Normal Operation
Main Event Loop (from rotordream.nim):
setUpdate proc() =
try:
# Poll HTTP API for keepalive/timeout
HttpApiSynchronizer.poll()
# Update all state modules
updateState()
except Exception:
echo getCurrentException()
State Update Cycle:
1. Client Requests: WebSocket/HTTP requests modify state
2. Validation: Permission check + type validation
3. State Change: Observable value updated
4. Observer Notification: All observers notified
5. Hardware Application: Physical changes applied
6. Persistence: Critical state saved to LevelDB
7. Client Broadcast: All connected clients notified
Shutdown Sequence
Graceful Shutdown (from src/state/rc_restart.nim):
proc shutdownApp*() =
# 1. Stop accepting new connections
stopAllServers()
# 2. Complete in-flight recordings
if isRecording():
stopRecording()
waitForRecordingFinalization()
# 3. Disconnect active streams
closeAllStreams()
# 4. Flush state to storage
LocalStorage.sync()
# 5. Close camera devices
CamClient.stop()
# 6. Exit cleanly
quit(0)
System Restart and Factory Reset
System Restart:
proc restartApp*(args: seq[string]) =
let executable = getAppFilename()
discard startProcess(executable, args = args)
quit(0)
Factory Reset (Issue #150 fix):
proc resetSystem*() =
# Preserve user-created categories (Issue #150)
const preserveKeys = ["categories", "categoryCounter"]
var preserved: seq[(string, string)]
for key in preserveKeys:
let value = LocalStorage.getItem(key)
if value.len > 0:
preserved.add((key, value))
# Clear all state
LocalStorage.clear()
# Restore preserved keys
for (key, value) in preserved:
LocalStorage.setItem(key, value)
# Reset network and configuration
clearNetConfig()
clearOtherFiles()
# Restart application
setTimeout(500):
restartApp(commandLineParams())
Data Flow Architecture
State Change Data Flow
Recording Data Flow
API Request Flow
HTTP REST API:
WebSocket State API:
Error Handling and Recovery
Exception Handling Strategy
# Global exception handler in main loop
setUpdate proc() =
try:
HttpApiSynchronizer.poll()
updateState()
except Exception:
echo getCurrentException()
# Log but continue running
Hardware Failure Recovery
Camera Disconnection:
proc handleCameraDisconnection() =
# 1. Detect device removal (udev monitor)
# 2. Stop active streams gracefully
# 3. Set state to "camera unavailable"
# 4. Notify all clients
# 5. Retry connection periodically
Storage Full:
proc handleStorageFull() =
# 1. Stop active recording
# 2. Delete oldest recordings (if enabled)
# 3. Notify administrators
# 4. Set storage state to "full"
State Inconsistency Recovery
Invalid State Detection:
proc validateStateValue(key: string, value: JsonNode): bool =
case key:
of "brightness":
return value.getInt() in 0..100
of "resolution":
return value.getStr() in supportedResolutions
else:
return true
Automatic Correction:
- Invalid values rejected with error message
- State reverted to last known good value
- Client notified of rejection reason
Performance Characteristics
Resource Usage
Memory Footprint (typical embedded deployment):
- Base application: ~40MB RSS
- Camera pipeline: ~60MB (with GStreamer)
- Per-client overhead: ~2MB (WebSocket) / ~500KB (RTSP)
- Maximum tested: 300MB with 10 concurrent streams
CPU Usage (ARM Cortex-A53 quad-core):
- Idle: 2-5%
- Single stream: 15-25%
- Recording + streaming: 35-50%
- FPGA offload: 10-15% (rc_DMG variant)
Disk I/O:
- Recording bandwidth: 8-12 Mbps (1080p H.264)
- State persistence: <1KB/s average
- Metadata writes: Batch commits every 5 seconds
Latency Characteristics
| Operation | Typical Latency | Maximum |
|---|---|---|
| State update (local) | <1ms | 5ms |
| WebSocket broadcast | 5-20ms | 100ms |
| RTSP stream start | 200-500ms | 2s |
| Recording start | 100-300ms | 1s |
| API response | 10-50ms | 200ms |
| Camera parameter change | 50-200ms | 1s |
Scalability Limits
Tested Limits (embedded hardware):
- Concurrent WebSocket clients: 50+
- Concurrent RTSP streams: 10
- Concurrent recordings: 2 (with dual cameras)
- State updates per second: 1000+
- Recording metadata entries: 100,000+
Deployment Variants
The system supports multiple build-time variants with different feature sets. See Deployment Variants for details.
| Variant | Target Platform | Key Features |
|---|---|---|
| DEFAULT | Development | All features, debugging enabled |
| DEMO | Trade shows | Time-limited, watermarked |
| DEV | Testing | Factory test mode, diagnostics |
| EDU | Medical education | Multi-camera, PIP, enhanced UI |
| rc_DMG | Production | FPGA processing, full features |
| VB | OEM partners | Custom branding, limited UI |
Technology Stack Summary
Core Technologies
| Component | Technology | Purpose |
|---|---|---|
| Language | Nim 1.6+ | Application code |
| Async Runtime | Corun | Event loop, networking |
| Video Processing | GStreamer 1.x | Camera pipeline |
| Camera Interface | V4L2, UVC | Device access |
| State Storage | LevelDB | Key-value persistence |
| Metadata Storage | SQLite 3 | Recording database |
| Streaming | RTSP, WebRTC | Video delivery |
| API Protocols | HTTP, WebSocket, ONVIF | Client integration |
| Security | OpenSSL/LibreSSL | TLS/SSL encryption |
System Dependencies
Runtime Requirements:
- Linux kernel 4.9+ (for V4L2 subsystem)
- GStreamer 1.14+ with plugins (base, good, bad, ugly)
- SQLite 3.20+
- LevelDB 1.20+
Build Requirements:
- Nim compiler 1.6+
- GCC 7+ or Clang 10+
- pkg-config
- Linux kernel headers
Related Documentation
- State Management: Observable state system details
- Camera Pipeline: Video processing architecture
- Metadata SQLite: Recording database schema
- ADR-0001: Nim Language: Language selection rationale
- ADR-0002: Corun Framework: Async runtime choice
- ADR-0003: Observable State: State pattern decision
- Deployment Variants: Build variants guide
- Getting Started: Quick start guide
- API Reference: Complete API documentation
Architecture overview derived from complete codebase analysis including rotordream.nim, src/state/state.nim, and all subsystem modules.