At construction sites, heavy objects are often transported. Field workers wear a safety helmet to absorb or disperse shocks in the event of an accident. According to one experiment, when wearing a safety helmet, transmitted impact force was reduced by more than 90% compared to when not wearing it. In this way, wearing a safety helmet must be performed in order to minimize injuries caused by a fall or a drop of an object.
If a person is wearing a helmet at the construction site, you can monitor the safety helmet wearing status of the workers using a model that trains the image that can be classified as a helmet if wearing a helmet and a head if not wearing a helmet at a construction site, it will help prevent safety accidents.
Data | Data type | Content | Use mode |
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Input data | MP4,JPG, PNG, etc. | Image and video data of the construction site | API |
Output data | JPG, PNG, JSON, etc. | Safety helmet worn, unworn people object information (coordinates, labeled images) | API |
Payment | Subscription method | Attached file upon application |
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Prepaid charge | Online | - |
Application procedure |
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Category | Pricing |
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API Setting | $1,800 ~ |
API Predicting | $0.02 / Image |