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SYSTEMS AND METHODS FOR DETECTING BLIGHT AND CODE VIOLATIONS IN IMAGES

机译:检测图像中枯萎和违规行为的系统和方法

摘要

A system for blight and code violation detection is provided. The system includes a machine learning model that is trained using photographs of properties that are associated with blight and code violations and photographs that are not associated with blight and code violations. A fleet of vehicles, such as trash trucks, are equipped with cameras to take photographs of properties along their routes. The trained model may generate score for each photograph that indicates whether or not a property is blighted or has code violations. Those properties with a score that exceeds a threshold may be provided to a reviewer who may verify the finding. If the finding is verified, the reviewer may issue a letter or citation to the owner of the property, and positive feedback may be provided to the model. If the finding is not verified, negative feedback may be provided to the model.
机译:提供了一种枯萎和代码违规检测系统。 该系统包括一个机器学习模型,该模型使用与枯萎和违规的代码违规以及与枯萎和违规的拍摄相关联的属性培训。 垃圾车等车辆(如垃圾桶)配备了相机,沿着他们的路线拍摄物业照片。 训练有素的模型可能会为每个照片生成分数,指示属性是否枯萎或有代码违规。 可以向审阅者提供超过阈值的分数的那些属性,他们可以验证查找。 如果验证了查找,审阅者可能会向财产所有者发出信件或引用,并且可以向模型提供积极的反馈。 如果未验证查找,则可以向模型提供负反馈。

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