A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...
Abstract: Aiming at the problem of insufficient performance of existing object detection models under small-object recognition, complex background interference, and lighting changes, this study ...
Abstract: The facial recognition attendance system represents a modern approach to attendance tracking, designed to improve efficiency, accuracy, and security in various organizational settings.
Face recognition is a dragnet surveillance technology and its expansion within law enforcement over the last 20 years has been marred by systematic invasions of privacy, inaccuracies, unreliable ...
With the continuous expansion of highway networks in recent years, the monitoring and repair of road diseases have become one of the important tasks in traffic management. Traditional manual ...
Australia’s New South Wales Police used a legacy facial recognition algorithm for over a decade and declined repeated offers of updates from the vendor, instead replacing it with a system adapted ...
On Monday, U.S. Customs and Border Protection (CBP) quietly rolled out a new mobile face-scanning app called Mobile Identify for local law enforcement officers working under the federal 287(g) ...
Identity verification provider IDnow reports significant progress in reducing algorithmic bias in facial recognition systems, following its participation in the EU-funded MAMMOth (Multi-Attribute, ...
The United States’ anti-immigration regime already boasts an impressive arsenal of surveillance towers, cloud data bases, and automated visa systems. Adding to that panopticon is the personal phone of ...
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