Built-In AI Event Detection
Detects traffic events directly on the camera without an external analytics server, reducing deployment complexity and system cost.
*Images are for illustrative purposes. Actual product appearance and specifications may vary.
SV-ETL-C1A-EX Traffic Incident Detection Camera
8MP 1/1.8-inch starlight CMOS camera designed for road traffic incident detection.
Built-in high-performance AI computing module detects stopped vehicles, wrong-way driving, pedestrians, fallen objects, traffic congestion, lane departure and other abnormal traffic incidents.
Integrated smart LED fill light with auto brightness adjustment and strong-light suppression.
IP67 rated with remote IoT management.
Product Display
Showcase of product features and physical appearance.
Product Design & Dimensions
- Optical Window—Clear imaging.
- Smart LED Light—Low-light support.
- 8–32 mm Zoom—Motorized adjustment.
- Compact Design—306.5 × 115 × 104 mm, 1.7 kg.
Core Advantages
Key product strengths that deliver high‑value capabilities for users.
Product Advantages
Key product strengths and performance benefits.
All-Weather Starlight Imaging
Delivers clear, stable imaging in low light, glare, and changing conditions for reliable 24/7 monitoring.
Motorized Zoom Coverage
Supports flexible 8–32 mm zoom adjustment to match different installation heights and monitoring distances.
Industrial-Grade Protection
Built for roadside environments with IP67 protection, wide-temperature operation, and efficient low-power performance.
Application Scenarios
Typical real‑world deployment environments for the product.
Urban Arterial Monitoring
Detects stopped vehicles, congestion, pedestrians, and debris, with real-time alerts to traffic management platforms.
Expressway Monitoring
Monitors bridges, tunnels, and key road sections for wrong-way driving, stops, congestion, and lane violations.
Digital Road Sensing
Works with edge and management platforms to build a connected roadside sensing network.
Product Specifications
Showcase of product features and physical appearance.
- Hardware
- Sensor8 MP, 1/1.8-inch Starlight CMOS
- Min IlluminationColor: 0.001 lx (AGC ON) / B/W: 0.0001 lx (AGC ON)
- ProtocolONVIF, GB/T 28181
- CompressionH.264, H.265
- Bitrate256 Kbps ~ 16 Mbps
- Frame Rate1 ~ 30 fps
- ShutterAuto/Manual 1/25 ~ 1/1000 s
- Noise Reduction2D/3D Digital Noise Reduction
- Wide Dynamic RangeDigital WDR
- Max Resolution3840 x 2160
- Main Stream3840 x 2160 @ 30 fps (configurable)
- Sub Stream1920 x 1080 @ 30 fps (configurable)
- Lens
- Focal Length8 ~ 32 mm Motorized Zoom
- Lens MountCS
- AI Incident Detection
- Detection TypesStopped vehicles, wrong-way driving, pedestrians, fallen objects, traffic congestion, lane departure
- IlluminatorIntegrated smart LED fill light with auto brightness adjustment
- Strong-Light SuppressionAuto image brightness optimization based on vehicle headlights
- Function Settings
- Image AdjustmentBrightness, contrast, saturation, hue, sharpness
- ExposureWhite balance, backlight compensation, image enhancement, day/night mode
- Video SettingsEncoding, resolution, frame rate, bitrate control, image quality, I-frame interval
- Image SettingsEncoding, resolution, image quality
- Network SettingsNetwork settings, port, protocol
- StorageRecording, snapshot, schedule management
- SystemGeneral settings, output mode, user management, config management, upgrade, auto maintenance
- Image CaptureHTTP image capture with configurable quality levels
- General
- Power InterfaceDC5521
- NetworkRJ45
- VoltageDC 12V +/- 5%
- Power Consumption< 15 W
- Weight~ 1.7 kg
- Dimensions~ 306.5 x 115 x 104 mm
- Operating Temp-30 C ~ 70 C
- ProtectionIP67
- Applications
- ApplicationsTraffic incident detection on highways, urban roads, tunnels, and bridges.
Resources & Downloads
Available documents and file downloads.
Ordering Process
Steps to place and process your order.
Product Selection
Choose the right model based on your project requirements.
Online Guidance
Our engineers provide professional technical consultation.
Remote Support
After-sales team provides remote deployment assistance.
FEATURED CASE STUDIES
Real-World Success Stories
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