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Green Vision  |  SV-PR-L2A-EX

SV-PR-L2A-EX Little Squirrel Smart Parking Space Management Device

Roadside low-power sensing device integrating dual-lens 4MP starlight camera, fill light, and dual LiDAR for intelligent parking space management.
Manages 2 roadside parking spaces with 4G data transmission and snap-on quick mounting.
Built-in AI chip delivers on-device recognition with over 99% accuracy, 24/7 uninterrupted operation.
Solar-powered with 4W panel and 60+ days battery endurance.
IP66 rated with IK10 impact resistance.


Product Display

Showcase of product features and physical appearance.

Smart Dual-Space Parking Sensing

  • Dual 4MP Starlight Cameras + Radar Fusion.
  • Solar Power + Low-Power Wake-Up Technology.
  • Real-Time Detection of Occupied, Vacant & Abnormal Spaces.
  • 4G IoT Connectivity with Remote Management.

Core Advantages

Key product strengths that deliver high‑value capabilities for users.

Capability Flow from Solar Power to Remote O&M

Product Advantages

Key product strengths and performance benefits.

One Device for Two Spaces

One Device for Two Spaces

Mounted at the shared boundary between two adjacent spaces, the device uses dual cameras and dual laser radars to create two sensing zones, covering both spaces with one unit.

Privacy-Aware Occupancy Detection

Privacy-Aware Occupancy Detection

The device outputs occupied, vacant and non-vehicle abnormal-occupancy status without collecting or storing personal information, vehicle models or registration numbers.

Ultra-Low-Power Solar Endurance

Ultra-Low-Power Solar Endurance

Radar-triggered wake-up, event-driven lighting and on-device AI reduce energy use, while the high-capacity battery and 4 W solar panel lower battery-replacement and maintenance frequency.

Fast Retrofit and Remote Maintenance

Fast Retrofit and Remote Maintenance

The clamp mount fits existing parking meters or roadside poles and can be installed in 15–20 minutes. 4G, GPS, offline retransmission, remote configuration and batch upgrades reduce deployment and maintenance effort.

Application Scenarios

Typical real‑world deployment environments for the product.

Urban Roadside Dual-Space Management

Urban Roadside Dual-Space Management

For consecutive roadside parking spaces, the device is installed at the boundary between two adjacent spaces to continuously determine occupied, vacant and abnormal-occupancy status and upload results to the platform.

Existing Meter or Pole Retrofit

Existing Meter or Pole Retrofit

The clamp mount enables rapid installation on an existing parking meter or roadside pole without new ground equipment, road excavation or wired-network deployment, making it suitable for upgrading existing parking infrastructure.

Non-Vehicle Abnormal-Occupancy Management

Non-Vehicle Abnormal-Occupancy Management

The system identifies and reports non-vehicle obstructions such as shopping carts, traffic cones, barriers, building materials, construction waste, tires, cartons and metal cages, supporting timely intervention by parking operators.

Product Specifications

Showcase of product features and physical appearance.

  • Camera
  • Image SensorDual-lens 1/2.7-inch 4 MP CMOS
  • Electronic ShutterAuto/Manual 1/25s ~ 1/1000s
  • Image ResolutionUp to 2560 x 1440 (JPEG)
  • Wide Dynamic RangeSupported
  • White BalanceAuto / Manual
  • Exposure ModeAuto / Manual
  • 3D Noise ReductionSupported
  • Edge EnhancementSupported
  • Lens
  • Focal Length1.8 mm
  • Max Covered Parking Spaces2
  • Video
  • Video Resolution2560x1440 @ 15 fps / 1920x1080 @ 15 fps / 1280x720 @ 15 fps
  • Video CompressionH.264, H.265
  • Video Bit Rate256 Kbps ~ 16 Mbps
  • Image Encoding FormatJPEG
  • Shutter ModeSingle shutter
  • OSD OverlayTime, date, location
  • Illuminator
  • Fill Lights2 units; auto switch based on ambient brightness; adjustable
  • Detection
  • Detection TechnologyDual-lens camera + dual LiDAR
  • Detection TypesOccupied / Vacant / Abnormal occupancy
  • Detection Accuracy> 99%
  • Abnormal Item DetectionHand carts, shopping carts, traffic cones, guardrails, building materials, construction debris, tires, garbage, cardboard boxes, metal cages
  • Object Detection Threshold> 300 mm x 300 mm x 300 mm
  • AI Large ModelCloud large model for non-vehicle object identification
  • Network
  • Network Interface4G (all mainstream Asia & Europe bands)
  • Security ModeAuthorized username & password; HTTPS encrypted communication
  • Offline Data ResumeSupported; cached data uploaded once network recovers
  • Storage
  • Storage InterfaceTF card slot
  • Power
  • Power SupplyTernary lithium battery pack
  • Battery Capacity70 Ah @ 3.7 V
  • Average Operating Power< 300 mW
  • Solar Panel Power4 W
  • Battery Replacement Cycle> 60 days without sunlight; self-sustained under sufficient sunlight
  • Operating ModeScheduled wake-up / Radar trigger wake-up
  • Alarm
  • Alarm EventsSensor cleaning reminder, low battery, drop, position offset, connection failure
  • Alarm Images2 images captured at 1-minute intervals per alarm trigger
  • Firmware UpgradeRemote batch upgrade
  • GPS TrackingGPS positioning supported; configurable upload intervals
  • Data ClearingBuilt-in program; remote erasure via management portal
  • General
  • Operating Temperature-20 C ~ +60 C
  • Operating Humidity10% ~ 95% (non-condensing)
  • Ingress ProtectionIP66
  • Impact ResistanceIK10
  • Product Dimensions204 x 140 x 472 mm
  • Net Weight7.5 kg
  • Installation MethodSnap-on quick mounting (15 ~ 20 minutes)

Resources & Downloads

Available documents and file downloads.

Ordering Process

Steps to place and process your order.

1

Product Selection

Choose the right model based on your project requirements.

2

Online Guidance

Our engineers provide professional technical consultation.

3

Remote Support

After-sales team provides remote deployment assistance.

FEATURED CASE STUDIES

Real-World Success Stories

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