The issue of possession of hazardous goods such as firearms and knives is directly related to the issue of the social security system and social safety net. Particularly in countries that allow the possession of firearms, such as the United States, there are many legal attempts to prevent firearms incidents. Not only firearms, but also cutlery, such as knives, are very dangerous for people to possess unless in a specific space. In such a situation, it is important to know in advance whether you have a hazardous item.
A model was created using a dataset labeled with a hazardous by training pistols or knives from image data taken from various angles, backgrounds, and environments. This can improve the efficiency of determining whether or not you possess a pistol or a knife.
Data | Data type | Content | Use mode |
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Input data | Zip, JPG, PNG, MP4, etc. | Image or video data | API |
Output data | JSON, PNG, JPG, etc. | Weapon recognition (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 |