The phrase "automated detection system" is correct and usable in written English.
You can use it when referring to a system designed to automatically identify or recognize specific patterns, objects, or anomalies without human intervention.
Example: "The automated detection system successfully identified the security breach within minutes of its occurrence."
Alternatives: "automated identification system" or "automated recognition system".
(2005), who found that an automated detection system detects all rapid increases in the geomagnetic field, not all of which are caused by geomagnetic storms.
This experience shows that an automated detection system would be beneficial in similar conflicts, and in cleanup operations of the abandoned mines of old conflicts.
But those questions don't seem to understand that Google isn't playing cop inside users' Gmail inboxes, it's using an automated detection system that looks specifically for child pornography, and is part of a larger international effort to remove these images from the web.
Additionally, expectations from an automated detection system must be realistic.
In comparison, the automated detection system took a few minutes to "review" (i.e. process) the entire database of 3444 stays.
Of note, contractile activity in these experiments was measured in a 24-well scale using an automated detection system.
Automated detection systems and identity verification tools, however, which lean on the availability of big data, go a long way toward helping organizations meet compliance requirements and protect themselves.
The definition of ASE systems identification criteria based largely on a neo-institutional economic approach is a point of departure allowing not only for a balanced perspective on the different automated detection systems, but also for a more extended comparison between different countries.
However, at present, sufficiently accurate algorithms are not in place to allow reliance upon fully automated detection systems.
(2005), although it was possible for them to correctly detect rapid increases in magnetic field strength with an automated detection algorithm, the system resulted in many false triggers from similar signals that did not result in storms.
There is considerable work ahead, with several potentially fruitful research areas, including the development of (i) hardware and software for data acquisition, (ii) efficient, calibrated, automated detection and classification systems, and (iii) statistical approaches optimized for this application.
