smart cart 3 Computer Vision Model

byalbaathTask:
Object Detection
License:CC BY 4.011 views3 downloads

How to use the smart cart 3 Detection API

Try This Model

Drop an image here or click to upload

Or try a test image 

Code Snippets

from inference_sdk import InferenceHTTPClient

CLIENT = InferenceHTTPClient(
    api_url="https://serverless.roboflow.com",
    api_key="API_KEY"
)

result = CLIENT.infer("YOUR_IMAGE.jpg", model_id="smart-cart-3/1")
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Code
pip install inference-sdk
# 1. Import the library
from inference_sdk import InferenceHTTPClient

# 2. Connect to your workspace
client = InferenceHTTPClient(
  api_url="https://serverless.roboflow.com",
  api_key="API_KEY"
)

# 3. Run your workflow on an image
result = client.run_workflow(
  workspace_name="<YOUR_WORKSPACE>",
  workflow_id="<YOUR_WORKFLOW_ID>",
  images={
    "image": "YOUR_IMAGE.jpg"  # Path to your image file
  },
  parameters={
    "classes": "water, tissue, crame, sbagitti, wipes"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Run on custom image

Drop an image here or click to upload

Detecting classes:
Or try a test image 

About smart cart 3 Model

Here are a few use cases for this project:

  1. Grocery Inventory Management: Use the model in a grocery store setting to track, identify, and manage inventory of items such as water, crame (a type of cheese), tissue, wipes, and spaghetti.

  2. Smart Shopping Aid: Implement the model in a shopping app where users can quickly identify products they need to buy (water, crame, tissue, wipes, spaghetti) by scanning a shelf with their smartphone cameras.

  3. Waste Management & Recycling: Use the model to identify these items in waste materials for proper categorization, disposal, and recycling, thus promoting environmental sustainability.

  4. Item Identification for Visually Impaired: The model can be integrated into an assistive technology app aimed at helping visually impaired people identify daily items (water, crame, tissue, wipes, spaghetti) by just pointing their phone to the item.

  5. Automated Checkout Systems: Implement the model in automated store checkout systems for swift identification and pricing of products without human intervention.

Cite This Project

LicenseCC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ smart-cart-3_dataset,
  title = { smart cart 3 Dataset },
  type = { Open Source Dataset },
  author = { albaath },
  howpublished = { \url{ https://universe.roboflow.com/albaath/smart-cart-3 } },
  url = { https://universe.roboflow.com/albaath/smart-cart-3 },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2023 },
  month = { jun },
  note = { visited on 2026-07-29 },
}

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