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System Name | RBMK-1000 |
---|---|
Processor | AMD Ryzen 7 5700G |
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Cooling | DeepCool Gammax L240 V2 |
Memory | 2x 8GB G.Skill Sniper X |
Video Card(s) | Palit GeForce RTX 2080 SUPER GameRock |
Storage | Western Digital Black NVMe 512GB |
Display(s) | BenQ 1440p 60 Hz 27-inch |
Case | Corsair Carbide 100R |
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Power Supply | Cooler Master MWE Gold 650W |
Mouse | ASUS ROG Strix Impact |
Keyboard | Gamdias Hermes E2 |
Software | Windows 11 Pro |
Some time in June 2010, Apple filed a patent application for a unique new facial-recognition technology that's light on the resources. It was discovered by AppleInsider. Entitled "Low Threshold Face Recognition," the application defines a method of recognizing a person using a front-facing camera of a device (could be anything from an iPhone, iPad, to even a Mac or Macbook), that consumes very little system resources, and is hence light on the device's power source.
It could very well be an evolution of the "Slide to Unlock" mechanism found on iOS devices, and conventional password entry to wake Macs up. If granted, this technology comes to being at a particularly important time, when a similar technology evolving out of Android Face Unlock, and when facial-recognition will be a key feature of Microsoft's Windows 8 operating system, to log into systems and wake devices up from their e-slumbers. Apple's proposed technology relies on analyzing a "high information portion" portion of the human face, rather than using the conventional resource-heavy method of recognition. Apple claims its technology will be just as reliable.
View at TechPowerUp Main Site
It could very well be an evolution of the "Slide to Unlock" mechanism found on iOS devices, and conventional password entry to wake Macs up. If granted, this technology comes to being at a particularly important time, when a similar technology evolving out of Android Face Unlock, and when facial-recognition will be a key feature of Microsoft's Windows 8 operating system, to log into systems and wake devices up from their e-slumbers. Apple's proposed technology relies on analyzing a "high information portion" portion of the human face, rather than using the conventional resource-heavy method of recognition. Apple claims its technology will be just as reliable.
View at TechPowerUp Main Site