警察報告： 面貌識別CCTV不可靠

由米克・ Meaney
RINF選擇新聞 

警察進行的新的測試，再證明監視系統的一個增長的數字是不可靠的。

200個人在沒有認可8出於10個人的三個系統註冊測試CCTV面貌識別軟件，既使當哺養了系統人的圖像靜立-最容易的設置常用建議軟件的其中一個是可靠的。

測試在Cognitec、Bosch和發怒比賽導致的軟件進行了。

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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