Senior Design Computer Vision Model
How to use the Senior Design Detection API
Try This Model
Drop an image here or click to upload
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="senior-design-4mwdm/2")Or, Use Free 0, 1 and 2 Detection API
Powered by general detection model
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": "0, 1, 2, 3, 4"
},
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
About Senior Design Model
Here are a few use cases for this project:
-
Emergency Vehicle Tracking: "Senior Design" can be used in real-time traffic management systems to identify and track emergency vehicles such as police cars, fire trucks, or ambulances, enabling efficient route planning and traffic prioritization to these vehicles.
-
Auto Surveillance in Public Safety: Law enforcement agencies can use the model to automatically detect the occurrence of emergency vehicles in an area, assisting them in identifying unusual activities or emergencies.
-
Traffic Flow Analysis: Transport analysts can use this model to study the frequency of specific types of vehicles in particular areas, such as the prevalence of emergency vehicles, contributing to the development of improved urban planning strategies.
-
Automated Tolls and Fines: This model can allow automated toll booths to identify different classes of cars and levy charges accordingly - regular for average cars, but perhaps waived or differed for emergency vehicles in the midst of a response.
-
Driverless Vehicle Navigation: Autonomous vehicle systems can use the "Senior Design" model to perceive and respond correctly to emergency vehicles in the vicinity, ensuring their protocols prioritize safety and legal obedience.
Tell the agent what you want to build.
Cite This Project
LicenseCC BY 4.0If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ senior-design-4mwdm_dataset,
title = { Senior Design Dataset },
type = { Open Source Dataset },
author = { [email protected] },
howpublished = { \url{ https://universe.roboflow.com/c-sarver511-gmail-com/senior-design-4mwdm } },
url = { https://universe.roboflow.com/c-sarver511-gmail-com/senior-design-4mwdm },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { jul },
note = { visited on 2026-07-29 },
}