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Broken House Detection API

SC DE VIS SOFTWARE SRL

Broken House Detection API

SC DE VIS SOFTWARE SRL

Detects broken glass from doors or windows, opened doors or windows, broken walls from input photo.

Broken House Detection API - brokenDET (also known as broken house recognition API or forced entry detection api) is a cross browsers REST API which get a JSON input with a still photo (as base64 encoded string) or an url of the ground taken image and returns a JSON string which contains predictions with certain amount of probability (filtered for output with minimum 20%), which contain the scores for broken glass from windows or doors, opened windows, opened doors, broken walls. If the probability of prediction is under 20% then these info are not shown.

Allthough this Broken House Detection API (currently we do not offer a Broken House Detection sdk) is intended for software development and therefore developers, we have also here a broken house detection online application that may be used to check the input and output JSONs of the API.

The necessary steps are written below, basically for this real time forced entry or recognition API you send an authorized POST request in JSON format to the API endpoint and you get as JSON response the output as described below through parameters and examples.

This Broken House Detection API is useful for a large number of domains like: home surveillance, security, professionals, students, researchers, developers etc.You own the commercial copyright of the resulted JSON with no additional fee meaning you may use it in your own apps for sale.

https://store-images.s-microsoft.com/image/apps.57001.9e352d10-8241-4d8b-8b80-d94b854b8a9b.703ba5ee-b4f9-4d18-9e14-ad056452cb15.3e458fd8-4018-48db-acd3-7a41bcb1af85
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https://store-images.s-microsoft.com/image/apps.57001.9e352d10-8241-4d8b-8b80-d94b854b8a9b.703ba5ee-b4f9-4d18-9e14-ad056452cb15.3e458fd8-4018-48db-acd3-7a41bcb1af85
/images/videoOverlay.png
https://store-images.s-microsoft.com/image/apps.57001.9e352d10-8241-4d8b-8b80-d94b854b8a9b.703ba5ee-b4f9-4d18-9e14-ad056452cb15.3e458fd8-4018-48db-acd3-7a41bcb1af85