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How to detect parking spaces in one image through the cloud API with Lotvulture

Send one lot photo to the Developer Cloud API and get space detections back.

Credentials. The API key is billed per image at $0.02 each, so keep it in an environment variable or secret store and never commit it to a repo.

Who it is forA developer building a parking feature into their own app who does not want to run on-prem infrastructure.

The problemRunning the on-prem engine adds infrastructure work when only occasional detection is needed.

The outcomeParking space detection results for a single image, billed per image.

What you need first

  • One or more IP, RTSP, or snapshot-capable cameras with a reachable stream URL or snapshot endpoint
  • A Windows PC for the native installer, or a Linux host with Docker for the container
  • Access to the Releases page or the ghcr.io container image
  • A Developer Cloud API key from lotvulture.com, only if using the cloud API use case

Steps

  1. Get an API key from the Lot Vulture Developer Cloud API page at https://www.lotvulture.com/developer.html.
  2. Prepare a lot image file, such as parking_lot.jpg, and the space polygon coordinates for each region.
  3. Run curl -X POST "https://api.lotvulture.com/v1/detect" -H "Authorization: Bearer YOUR_API_KEY" -F "image=@parking_lot.jpg" -F 'rois=[[[120,340],[250,340],[260,490],[110,490]]]' and replace YOUR_API_KEY and the file name. (inferred, check the README)
  4. Read the response and match each detection to its region.

Prompt for your agent

Using the Lot Vulture Developer Cloud API described in the repo lotvulture/lotvulture README, send the image <image_path> with the region coordinates <rois_json> to https://api.lotvulture.com/v1/detect using the API key in the environment variable <api_key_env>. Report the detection result for each region and verify that the number of results equals the number of regions sent.

Caveat. The README documents the API call and its per-image price but not its response format, so check the response shape against the live endpoint before parsing it.

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