智慧安防的新拼图,智能监控
在我国,首先大范围使用人工智能技术的是在安防行业,从2006年安放布控开始铺设摄像头开始,国内安防行业正式开始,首先是从第一批铺设的监控设备算起,可以大致将国内安防行业划分为四个阶段,模拟时代、数字监控时代、IP网络监控时代、智能监控时代。目前我们正处于数字监控和IP网络监控时代,相信不久的将来我们会跨入智能监控时代。
治安监控时代划分图
治安监控中,人脸识别是一项时至今日都无法做到做到完美的技术,也是治安监控中不可替代的重要组成部分,2016年,人工智能在安防行业运用至今,人脸识别也被广大的厂商玩出了新花样,从原来单纯的数据采集,到今天的数据分析,判断,再到事前分析,研判,轨迹,等诸多判案手段的诞生,这使得国内案件比重从原来的案件堆积,到现在的案件随时处理追踪。
人工智能-人脸识别
随着AI时代的来临,同样安防行业也出现新的变化,使得所有的前端采集和后端平台处理都趋于智能处理分析,把传统的监控设备的原视频取证,转变为事前预警预防,事中分析智慧,事后研判追踪,这一迹象表明,安防行业也逐步从数字时代、网络时代向智能时代迈进。
监控下的城市
随着设备与智能平台的结合,安防行业的理念也在发生变化,势必会更加注重实战效果,这让行业推动规律发生变化,由以前的被动接受,到现在定制化,接近客户的下游公司也逐步在成为行业严重的香饽饽,因为他们最是贴近客户,所以势必会有一些企业改变经营策略,由原来的设备平台搬运工,转变为贴合用户定制化乃至产品化的行业角色转变。
监控面前无所遁形
AI技术的应用,使得部分智能技术被转移到前端设备,像人脸抓拍机,从摄像机中检测人脸,跟踪,抓拍,报警,也就是对重点人员的报警,根据算法,计算出重点人员与抓拍人脸相似度,实现后端平台报警,并能实时追踪,定位轨迹,而随着摄像机技术的不断完善提高,比如曝光技术,自动识别技术,面部增强技术的使用,真正的实现了1+1大于2的效果。
1+1大于2
随着AI处理芯片与视频编码芯片的结合,让系统变得高集成,低成本。逐步取代以往相机芯片只负责视频编码,不能实现AI处理。同样现在不断更新的算法模型,逐步解决硬件资源不匹配的问题,实现根据不同需求匹配不同算法模型,实现产品的无障碍升级。同样随着行业趋于完善成熟,视频传输处理,网络协议都有一套完善的行业标准,而随着这一切的不断完善,实战场景的不断人工智能化,安防行业会形成更庞大,更完善的行业标准。
现在,更是引入大数据分析,视频云等先进技术和理念,使得智能平台更加符合实战场景,实现人脸布控,抓拍报警,轨迹分析,人车一体化分析研判,更是将人脸动态识别,静态识别运用到小区,这会让一切的犯罪行为无所遁形,随着人工智能技术的不断使用,未来的安防行业会更加完善,全面。
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