车牌读取器历史数据搜索应需搜查令
License plate reader searches should require a warrant
- About
- C.V.
- Datascience Portfolio
- Dissertation
- Comment Policy
- Consulting
- Courses
- Advanced Criminology (Undergrad) Crim 3302
- Communities and Crime (Undergrad) Crim 4323
- Crim 7301 – UT Dallas – Seminar in Criminology Research and Analysis
- Crime Science (Graduate) Crim 7381
- GIS in Criminology/Criminal Justice (Graduate)
- Crime Analysis (Special Topics) – Undergrad
- Job Advice Resources
- Code Snippets TOC
- 关于
- 简历
- 数据科学作品集
- 学位论文
- 评论政策
- 咨询
- 课程
- 高级犯罪学(本科)Crim 3302
- 社区与犯罪(本科)Crim 4323
- Crim 7301 – 德州大学达拉斯分校 – 犯罪学研究与分析研讨会
- 犯罪科学(研究生)Crim 7381
- 犯罪学/刑事司法中的GIS(研究生)
- 犯罪分析(专题)– 本科
- 求职建议资源
- 代码片段目录
Andrew Wheeler
安德鲁·惠勒
Crime Analysis and Crime Mapping
犯罪分析与犯罪制图
License Plate Reader Searches Should Require a Warrant
车牌识别器搜索应需搜查令
So while I work with police departments regularly, I think it is critically important that technology be used reasonably.
虽然我经常与警察部门合作,但我认为合理使用技术至关重要。
While this may be off-putting to some of my clients, I worked with the Institute for Justice as an expert witness in their trial Schmidt v City of Norfolk. (Any opinions herein are my own and not those of IJ, to be clear.) The gist of that case was whether searches of historically cached ALPR data (automated-license-plate-reader) constituted an illegal search.1
虽然这可能会让一些客户不快,但我曾作为专家证人与正义研究所合作,参与其 Schmidt 诉 City of Norfolk 一案的审判。(需要明确的是,本文中的任何观点均为我个人的,不代表正义研究所的观点。)该案的核心问题是,对历史缓存的 ALPR(自动车牌识别器)数据进行搜索是否构成非法搜查。1
The judge ruled against plaintiffs in that case. Here is a quote from the judgment:
法官在该案中裁定原告败诉。以下是判决书中的一段引文:
Consistent with Plaintiffs’ claims in this case and controlling precedent involving mass surveillance in public spaces, ALPR surveillance could become too intrusive and run afoul of [constitutional privacy standards] at some point. But when? While a definitive answer to that question is elusive, what is readily apparent to this Court is that, at least in Norfolk, Virginia, the answer is: not today.
与原告在本案中的主张以及涉及公共场所大规模监控的具有约束力的先例一致,ALPR 监控在某个时刻可能变得过于侵入性,并违反[宪法隐私标准]。但何时呢?虽然这个问题的明确答案难以捉摸,但本法院显而易见的是,至少在弗吉尼亚州诺福克市,答案是:今天不会。
The important point to note about this quote is “not today”. This will be a long winded post, but to try to keep it simple:
关于这段引文,需要注意的重点是“今天不会”。这将是一篇冗长的文章,但为了尽量简单明了:
- I think cameras will become ubiquitous in the foreseeable future. So the question is not if this data will require a warrant, it is when. It is going to happen eventually under current case law.
- I think cameras are good, and can be used to reduce crime in a cost effective manner.
- There is a difference between active flags (e.g. this car is stolen and it pings the PD when it drives past a camera) vs historical searches (e.g. look to see where license plate XYZ1000 was the last 30 days).
- Requiring a warrant for historical searches will not seriously impede police investigations.
- The current status quo of not retaining data is VERY BAD; it does not prevent illegal searches, and currently limits the utility of actually using that data for legitimate investigations.
- Current standards to prevent abuse of the searching ALPR data systems are laughable.
- 我认为在可预见的未来,摄像头将无处不在。因此,问题不在于这些数据是否将需要搜查令,而在于何时需要。根据现行判例法,这最终将会发生。
- 我认为摄像头是好的,并且可以以成本效益高的方式用于减少犯罪。
- 主动标记(例如,这辆车被盗,当它经过摄像头时向警察局发出警报)和历史搜索(例如,查看车牌XYZ1000在过去30天内去过哪里)之间是有区别的。
- 要求历史搜索需要搜查令不会严重阻碍警方调查。
- 当前不保留数据的现状非常糟糕;它不能防止非法搜索,并且目前限制了将数据用于合法调查的实际效用。
- 当前防止滥用ALPR数据搜索系统的标准是可笑的。
Long story short in my opinion everyone would be better off if states just mandated warrant procedures through state statutes.
长话短说,在我看来,如果各州通过州法规强制规定搜查令程序,对每个人都更好。
Current Legal Standards
当前法律标准
To try to not get too much into the weeds of what historically constitutes a search, I think the easiest place to start is via Carpenter vs US. So current US case law requires police departments to obtain a warrant to request cellular providers provide law enforcement with cell phone tower pings (cell-site location information, CSLI).
为了避免过多深入历史上什么构成搜查的细节,我认为最简单的起点是卡彭特诉美国案。当前美国判例法要求警察部门获得搜查令,才能要求蜂窝服务提供商向执法部门提供手机基站定位信息(CSLI)。
This deviated from historical precedent in requiring a warrant mainly because it was private companies that had the information. Before Carpenter, mostly it was argued you did not have a reasonable expectation of privacy if a private company could access the same data. The court in Carpenter basically made a determination that cell phone data was so comprehensive it justified a different standard – that you could track the whole of a person’s movements with the detailed CSLI data. And that this level of invasiveness violated a reasonable person’s expectation of privacy. Even if Google had all that info, you did not expect them to give it away.
这偏离了历史先例,要求搜查令主要是因为信息由私人公司掌握。在卡彭特案之前,主要论点是你对私人公司能够访问的数据没有合理的隐私期望。卡彭特案中的法院基本上认定手机数据如此全面,以至于需要不同的标准——你可以通过详细的CSLI数据追踪一个人的全部行踪。而这种侵入性水平侵犯了理性人的隐私期望。即使谷歌拥有所有这些信息,你也不期望他们将其泄露。
This opinion was reaffirmed with the recent Chatrie decision (for geofence warrants, e.g. give me a ping for all cell phones in area X and datetime-range Y). Another relevant decision to be aware of is also Beautiful Struggle v Baltimore, in which searching historical aerial imagery via drones also constituted a search.
这一意见在最近的查特里案(关于地理围栏搜查令,例如,给我提供X区域和Y日期时间范围内所有手机的信号)中得到重申。另一个需要注意的相关判决是“美丽斗争诉巴尔的摩案”,其中通过无人机搜索历史航拍图像也构成搜查。
So this is why I am saying the question is when, not if, ALPR data will require a warrant. If a city happened to have a camera on literally every intersection (which I think will happen in the future), under current case law it would clearly be the same situation as you have for your cell phone data.
所以这就是为什么我说问题不是ALPR数据是否将需要搜查令,而是何时需要。如果一个城市碰巧在每一个十字路口都安装了摄像头(我认为未来会发生),根据当前判例法,这显然与你的手机数据情况相同。
Cameras are Good
摄像头是好的
To be brief, again I mostly work with police departments in my career and was a former crime analyst. I do think ALPR cameras are good investments, mainly because they are cheap enough to have a reasonable return on investment. (Note I do not think this about all police tech, I am particularly critical of the price tag for acoustic-gun-shot-detection.)
简而言之,我的职业生涯中主要与警察部门合作,并且曾是一名犯罪分析师。我确实认为ALPR摄像头是好的投资,主要是因为它们足够便宜,能够带来合理的投资回报。(请注意,我并非对所有警察技术都持此看法,我尤其对声学枪击检测技术的价格持批评态度。)
So ALPRs are well under $3,000 per camera. The machine learning models, camera, and computation necessary to flag a plate when it passes can easily fit on current cell phones. (The harder part is powering the phone and protecting it from the elements.) ALPRs for the most part just take static images and then extract out the license plate (and for some vendors extract out additional information, like car make and color).
因此,ALPR每台摄像头的价格远低于3000美元。识别车牌所需的机器学习模型、摄像头和计算能力可以轻松集成到当前的手机中。(更困难的部分是为手机供电并保护其免受天气影响。)ALPR大多只是拍摄静态图像,然后提取车牌(有些供应商还会提取额外信息,如汽车品牌和颜色)。
The overall evidence that ALPRs reduce crime is pretty meh at the moment (see my slides at a Wake Libertarian talk I did in 2024), but because they are so cheap they really only need to increase a few arrests per camera to likely have a positive return on investment.
目前,关于ALPR减少犯罪的整体证据相当薄弱(参见我在2024年Wake Libertarian演讲中的幻灯片),但由于它们非常便宜,每台摄像头只需增加几次逮捕,就可能产生正的投资回报。
It is pretty hand-wavy, as we do not have estimates for the value of increased clearances I find persuasive. But I think saying “I would pay $500 to help solve one case” is on the low side if anything. So a single camera if it helps catch just a handful of crimes a year is likely in my opinion to be a positive ROI.
这相当模糊,因为我们没有令人信服的关于破案率提高价值的估计。但我认为说“我愿意支付500美元来帮助解决一个案件”即使不是低估,也是偏低的。因此,如果一台摄像头每年能帮助抓获少数犯罪,我认为它很可能产生正的投资回报。
I think cameras in all public spaces are going to happen. Imagine Ring comes out with a nicer camera system for homeowners that has more comprehensive views around your house and is just as cheap. And we will ultimately be safer for it. So even for folks advocating that cities do not pay for Flock, this is coming anyway in the near future.
我认为所有公共空间安装摄像头是必然趋势。想象一下,Ring为房主推出一个更完善的摄像头系统,能更全面地覆盖房屋周围,而且价格同样便宜。我们最终会因此更安全。所以,即使有人主张城市不购买Flock,这在不久的将来也会发生。
Historical Searches vs Active Flags
历史搜索与主动标记
ALPRs have been around a long time. The first ones I worked with at Troy, NY when I was an analyst were in-car cameras. Basically a go pro attached to the window that alerted when an officer drove by a stolen plate.
ALPR已经存在很长时间了。我在纽约特洛伊市担任分析师时,最早接触的是车载摄像头。基本上就是一个固定在车窗上的GoPro,当警官经过被盗车牌时发出警报。
While ALPRs initial use was always pitched as this active flagging of stolen vehicles, they were used right away to retroactively search the historical locations of plates. They had a log of every plate, lat/lon, and timestamp of when that car passed a camera.
虽然ALPR最初的使用总是被宣传为对被盗车辆的主动标记,但它们很快就被用于追溯搜索车牌的历史位置。它们记录了每辆经过摄像头的车辆的车牌、经纬度和时间戳。
So imagine you are conducting an investigation of Joe Schmo, you know his license plate, and then you can type in his plate and see where his car passed a camera. Based on this information, same as CSLI data, you can basically trace where Joe went, where he repeatedly visited, where he likely slept, etc. (The first time I used this at Troy, we figured out a particular individual we were actively investigating was living with his girlfriend for example. I was honestly amazed how densely filled in the map was of hits for a single plate based on the in-car cameras.)
所以,想象一下你正在对乔·施莫进行调查,你知道他的车牌号,然后你可以输入他的车牌,查看他的车经过哪些摄像头。基于这些信息,与CSLI数据类似,你基本上可以追踪乔去了哪里,他反复去过哪些地方,他可能在哪里睡觉等等。(例如,我第一次在特洛伊使用这个功能时,我们发现我们正在积极调查的一个特定个人正和他的女朋友住在一起。说实话,我很惊讶基于车载摄像头,单个车牌号的命中地图竟然如此密集。)
You technically do not need to cache any data at all to accomplish this “flag a stolen vehicle” (or any other scenario where you are actively looking for a specific license plate). There are legitimate scenarios though where ALPR searches for recent data in a real time context can be very helpful.
从技术上讲,要实现“标记被盗车辆”(或任何其他你正在积极寻找特定车牌的场景),你根本不需要缓存任何数据。不过,在某些合法场景下,ALPR在实时环境中搜索近期数据可能非常有用。
One of the more common examples – someone robs a gas station, and they drove a vehicle. You don’t know the plate, but can look at the images that passed by the fixed location ALPRs in the time range, and then especially if you have a car description from the gas station attendant can figure out the plate associated with the vehicle.
一个比较常见的例子——有人抢劫了加油站,他们开了一辆车。你不知道车牌号,但可以查看在时间范围内经过固定位置ALPR的图像,然后特别是如果你有加油站服务员提供的车辆描述,就可以找出与该车辆关联的车牌号。
更进一步:量化金融体系
看懂新闻只是起点——沿量化金融路径,把它变成能交付的工程能力