警察报告： 面貌识别CCTV不可靠

由米克· Meaney
RINF选择新闻 

警察进行的新的测试，再证明监视系统的一个增长的数字是不可靠的。

200个人在没有认可8出于10个人的三个系统注册测试CCTV面貌识别软件，既使当哺养了系统人的图象静立-最容易的设置常用建议软件的其中一个是可靠的。

测试在Cognitec、Bosch和发怒比赛导致的软件进行了。

The federal police in Germany who conducted the test are citing “bad lighting” as the reason for the failure and required the test subjects to be fitted with RFID tags to help with the identification process.

The final test report rightly advises against the use of the system and suggests it only be in use with the cooperation of the person being checked by the biometrics software. Currently the researchers believe that 23 false alarms per day would be an acceptable amount if only 1 or 2 real criminals were caught per week.

Such use would erode public trust in the system and is therefore being put on hold for the moment. With the right amount of light the systems only generated 0.1 per cent of false alarms by failing to recognize 4 out of 10 people, which is thought to be an acceptable rate for police work. You can view the report in German here.

Use of such systems is massively invasive as they can automatically retrieve personal information stored on a central database within seconds.

Through the use of number plate recognition, cars fitted with mandatory RFID, schools fingerprinting, biometric passports, a European biometric database and ‘Spy Drones’ monitoring street activity, we see not only Big Brother nations emerging but the creation of an entire European Big Brother continent were all movements can be tracked and recorded.

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