SKU Recognition

Make sure you already have configured your Authentication.
Run in postman
Nodeflux Visionaire Cloud
Nodeflux Visionaire Cloud
Request Body
Send a POST request to https://api.cloud.nodeflux.io/v1/analytics/clientname-sku-recognition by providing these arguments as application/json.
{
    "images": [
        "{INSERT_JPEG_IMAGE_AS_BASE64_STRING}"
    ]
}
Key
Type
Description
images
array
Your .JPG or .JPEG image in base64 using data URI scheme.
Sample request
{
    "images": [
        "data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/
        2wBDAAYEBQYFBAYGBQYHBwYIChAKCgkJChQODwwQFxQYGBcUFhY
        aHSUfGhsjHBYWICwgIyYnKSopGR8tMC0oMCUoKSj/"
    ]
}
Provide only 1 image.
Please check Fundamentals -> Limits for more detail.
Response Body
HTTP Mapping: 202 Accepted
{
  "job": {
    "id": "a-very-long-job-id",
    "result": {
      "status": "success",
      "analytic_type": "CLIENT_NAME_SKU_RECOGNITION",
      "result": [
        {
          "sku_recognition": [
            {
              "label": "0",
              "confidence": 0.999836564064026,
              "bounding_box": {
                "top": 0.2748015873015873,
                "left": 0.5376984126984127,
                "width": 0.09250992063492064,
                "height": 0.29662698412698413
              }
            }
          ]
        }
      ]
    }
  },
  "message": "SKU Recognition Success",
  "ok": true
}
Key
Type
Description
id
string
Job ID of your request.
status
string
Status of your success, ongoing, or failed.
analytic_type
string
Type of analytic that your request.
label
string
Class type recognized by the model.
confidence
float
The confidence level of label based on the registered label.
bounding_box
dict
Bounding box coordinate in a ratio of overall image size.
top is the top (y) coordinate of the bounding box. 
left is the left (x) coordinate of the bounding box. 
left is the height of the bounding box. 
width is the width of the bounding box.

Planogram Compliance

People Density

Last modified 1yr ago

Key	Type	Description
`id`	`string`	`Job ID` of your request.
`status`	`string`	Status of your `success`, `ongoing`, or `failed`.
`analytic_type`	`string`	Type of analytic that your request.
`label`	`string`	Class type recognized by the model.
`confidence`	`float`	The confidence level of `label` based on the registered label.
`bounding_box`	`dict`	Bounding box coordinate in a ratio of overall image size. `top` is the top (y) coordinate of the bounding box. `left` is the left (x) coordinate of the bounding box. `left` is the height of the bounding box. `width` is the width of the bounding box.

Key	Type	Description
`images`	`array`	Your `.JPG` or `.JPEG` image in `base64` using data URI scheme.