mfrds_ai Computer Vision Project

aS

Updated 2 years ago

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Classes (35)
BreathingApparatus
Glove Goggles Helmet
No_BreathingApparatus
No_Glove
No_Goggles
No_Harness
No_Helmet
Person
SafetyShoe
Safety_Harness
boots
breathing apparatus
gas mask
glasses glove gloves goggles helmet
no boots
no glasses
no gloves
no helmet
no vest
no_breathing_apparatus
no_glove
no_goggles
no_harness
no_helmet
no_safety-shoe
person
safety-shoe
safety_harness
vest
Description

Here are a few use cases for this project:

  1. Workplace Safety Compliance: In a construction setting or other high risk workplaces, this model can be used to check whether all safety standards are being met. It can identify whether the workers are wearing the right safety gear like helmets, gloves, safety shoes, goggles and safety harnesses.

  2. Automated Surveillance System: In an industrial setting, the model can be integrated into a surveillance system to detect any violations of safety protocols, such as not wearing a helmet or breathing apparatus when required. Alerts can then be sent to the control room for immediate action.

  3. Training and Education: Data from this model could be used in occupational safety and health training programs to visually demonstrate and reinforce the importance of proper protective equipment use.

  4. Safety Equipment Manufacturers: Manufacturers of safety equipment could use this model for product testing and development. By analyzing images from various workplaces, the manufacturers could understand common usage patterns and improve their products accordingly.

  5. Insurance Industry: This model could be used by insurance companies to assess risks at a client's site, by checking whether employees regularly use safety gear. This could influence the insurance premium of a workplace insurance policy.

Supervision

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Cite This Project

LICENSE
CC BY 4.0

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

                        @misc{
                            mfrds_ai_dataset,
                            title = { mfrds_ai Dataset },
                            type = { Open Source Dataset },
                            author = { aS },
                            howpublished = { \url{ https://universe.roboflow.com/as-fuzai/mfrds_ai } },
                            url = { https://universe.roboflow.com/as-fuzai/mfrds_ai },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { feb },
                            note = { visited on 2024-11-21 },
                            }
                        
                    

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