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Plate Recognizer Snapshot

ALPR that Works

  • Blurry images
  • Low-res images
  • Dark images
  • Small images
  • Vehicles at an angle
  • Vehicles driving fast
  • Vehicles far away
  • Multiple vehicles
  • Plates with 2 rows
  • Plates with icons
  • Plates with stacked characters
  • Different colored plates
  • Motorcycles, buses, trucks
  • Vans, trailers, long-haul trucks
  • Unique, colored fonts
  • Mixed fonts

Input Parameters

  • Image: Send an image in a variety of formats.
  • Region: Specify the region(s) of interest.
  • Camera: Specify the camera associated with the image.
  • Timestamp: Optional.

Output Parameters

  • Decoded Plate: See license plate(s) decoded.
  • Bounding Box: Get x, y coordinates of box around each plate.
  • Score: See engine’s confidence level in correctly reading plate characters.
  • Dscore: Understand engine’s confidence level that a plate is found.
  • Additional Candidates: See additional decoded plate possibilities with score.
  • Region of Plate: Get the region code of decoded vehicle.
  • Vehicle Type: Know if vehicle is a big truck, bus, motorcycle, pickup truck, sedan, SUV, van, or unknown.
  • Vehicle Make/Model: See make & model from over 9,500 different models.
  • Vehicle Color: Get color of vehicle.

API Cloud

  • Requires Internet connection.
  • Supports images up to 3 MB.
  • Limit of 8 images per second.
  • Runs on Linode Cloud servers in New Jersey, USA.

On-Premise SDK

  • No Internet required, except during set-up.
  • No image file size limitation.
  • No limit on # lookups per second.
  • Runs on Windows, Linux, Mac, Jetson, Pi, Zynq, 96Boards, and more.
  • Operates on a Docker container with REST API.
  • Installs easily with SDK Manager tool.
  • Supports Kubernetes architecture.
  • See details and hardware requirements for SDK.

Ways to Deploy Plate Recognizer Snapshot

API Integration

Send images to our API Cloud or SDK.
Incorporate ALPR output into your app.
See Sample Plate Rec Code in 8 languages.

Video Mgmt Software

We’re pre-integrated with Blue Iris, ContaCam and ZoneMinder.
Upon motion detection, VMS sends image to our API Cloud or SDK.

Camera

We’re pre-integrated with Axis and Meraki cameras. Upon motion detection, camera sends image to our API Cloud.

Simple REST API for ALPR

Request

Response

Integrate with our ALPR API with a few lines of code (Python, Javascript, Shell, Ruby, C#, etc.) and get an easy to use JSON response with the number plate value of the vehicle.

See examples of how to interface with our API on this Github project. You can call the API on all the files of a directory and analyze the frames of a video.

Sign up to access our API or download our SDK.

Get Started

Get Fast ALPR Quickly

Get ALPR up and running in under 60 minutes. Free Trial with no Credit Card required!

Get Started

Basic Online Dashboard

  • Get full list of all vehicles decoded.
  • Search for a specific license plate
  • Filter results based on camera, start time, end time, or confidence level.
  • Data stored for 7 days.

Online Dashboard available only for API Cloud customers.

ALPR Dashboard

  • Get at-a-glance activity chart and drill down table. 
  • Search plates by time, site, vehicle type, color, make, etc.
  • Tag vehicles and get Custom Alerts.
  • See full vehicle details with Vehicle CRM.
  • Data retained for 365 days.
  • Easily import data from other systems.  Coming Soon!
Learn More

Webhooks

  • Easily create webhooks for API Cloud or SDK to “auto-forward” ALPR output.
  • Construct one or multiple webhooks per API Cloud account or SDK license.
Learn More

License Management

  • Easily see all products purchased.
  • Describe each SDK license to keep track of them.
  • See lookup usage for each license.
  • Move license to another machine.
  • Activate or disable a license key.

Supported Devices for Snapshot SDK

  • Windows
  • Linux
  • Macbook
  • Raspberry Pi 3 & 4
  • Nvidia Jetson Nano, TX1, TX2, Xavier NX
  • Orange Pi
  • LattePanda
  • Xilinx Zynq
  • 96Boards

SDK Software is executed on a Docker Container.

See HW Requirements

Languages Supported


See Sample Code

Affordable Pricing

Plate Recognizer Snapshot is priced as a subscription fee based on # Lookups per month.

Take advantage of our Free Trial and start today!

See Pricing

Inference Speeds for Snapshot SDK

Inference Speed (ms) Fast Mode Regular Mode
n1-standard-4 (4 vCPUs, 15 GB RAM),
1 x NVIDIA Tesla T4
24 44
n2-standard-8 (8 vCPUs, 32 GB RAM) 21 41
c2-standard-4 (4 vCPUs, 16 GB RAM) 30 58
n2-standard-4 (4 vCPUs, 16 GB RAM) 33 64
n1-standard-4 (4 vCPUs, 15 GB RAM) 47 94
n2-standard-2 (2 vCPUs, 8 GB RAM) 58 108
e2-standard-2 (2 vCPUs, 8 GB RAM) 77 145
Intel Core i7-8550U CPU @ 1.80GHz 33 55
Raspberry Pi 3/4 1000 1300
LattePanda Alpha 119 170
LattePanda V1 875 1250
Nvidia Jetson Nano 250 300

* Speeds based on HD Image size (1280 x 720). Fast Mode can be used in situations where vehicle size is at least 10% of image size. Otherwise, Regular Mode is recommended. For details, go to our GitHub page on ALPR Speeds.

Need Help with ALPR?

Let us know and we’d be happy to assist.

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