IoT Edge Base Vision System

Object Detection

Roboflow Universe ERDF IoT Edge Base Vision System

IoT Edge Base Vision System Computer Vision Project

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Here are a few use cases for this project:

  1. Smart Parking Application: This model can be used to develop a smart parking solution that allows users to quickly identify and reserve available parking spaces. It's able to differentiate between occupied and non-occupied spaces, as well as detect the presence of different vehicle types (car, bus, truck, bicycle, motorbike).

  2. Traffic Management: By being able to identify a variety of elements such as cars, buses, cyclists, pedestrians, traffic lights, and stop signs, this model can be utilized for better traffic monitoring and management, assisting authorities in enhancing road safety, traffic flow, and creating effective traffic planning.

  3. IoT-Integrated Security Systems: This model can bolster the functionality of IoT security systems. It could identify people, vehicles, and detect unusual activities such as an unattended suitcase, bag, or person with an umbrella during non-rainy conditions.

  4. Smart IoT Bicycles: By enabling the system to recognize cyclists along with other traffic entities, it could be implemented in IoT bicycles for enhanced safety, helping make the rider aware of other road users and obstacles.

  5. Roadside Assistance Services: By detecting various classes such as person, vehicle types, or even a cell phone, this model could assist roadside assistance services in locating stranded vehicles or callers precisely to provide help swiftly.

Regardless of the use case, the model will require high-quality data and accurate class tagging in order to train effectively.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite this Project

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

@misc{ iot-edge-base-vision-system_dataset,
    title = {  IoT Edge Base Vision System Dataset },
    type = { Open Source Dataset },
    author = { ERDF },
    howpublished = { \url{ } },
    url = { },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2022 },
    month = { oct },
    note = { visited on 2023-12-11 },

Find utilities and guides to help you start using the IoT Edge Base Vision System project in your project.



Last Updated

a year ago

Project Type

Object Detection




0, 1, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 2, 20, 21, 22, 23, 24, 25, 26, 3, 4, 5, 6, 7, 8, 9, Cyclist, Occupied, Person, Taxi, backpack, bicycle, boat, bottle, bus, car, cell phone, clock, dog, empty space, handbag, microwave, motorbike, non occupied, parked car, person, pottedplant, skateboard, skis, stop sign, suitcase, surfboard, traffic light, truck, umbrella

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