Detection and deterrence of tresspass with advanced AI controller.

使用先进的人工智能控制器检测和威慑非法侵入。

• 批准号: 971724
• 金额: $ 54.25万
• 依托单位: ARALIA SYSTEMS LTD
• 依托单位国家: 英国
• 项目类别: Small Business Research Initiative
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=971724
• 关键词: Detection; deterrence; tresspass; advanced; AI

Edge based trespass detection software for the detection of individuals trespassing, fare evasion and causing criminal damage; such as graffiti. Deterrence through responses tailored to the individual and the nature of the trespass. The solution reduces false positives through the use of convolutional neural nets for object classification and scene context to determine behaviour. The solution is low cost, can accept a wide range of sensors and is capable of operating at sites without mains power or WiFi.

基于边缘的侵入检测软件，用于检测个人侵入，逃票和造成刑事损害;如涂鸦。通过针对个人和侵入性质的反应进行威慑。该解决方案通过使用卷积神经网络进行对象分类和场景上下文来确定行为，从而减少误报。该解决方案成本低，可以接受广泛的传感器，并且能够在没有主电源或WiFi的地点运行。