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  2. VideoCore - Wikipedia

    en.wikipedia.org/wiki/VideoCore

    The VideoCore IV BCM2763 processor improves on the VideoCore III with support for 1080p encode and decode, along with higher resolution camera support and faster 2D and 3D graphics, all at very low power. It is used in the Nokia 808 PureView, [5] some versions of Roku hardware and the Raspberry Pi (2835/2836 models for versions 1/2 accordingly ...

  3. Raspberry Pi - Wikipedia

    en.wikipedia.org/wiki/Raspberry_Pi

    The Raspberry Pi 5 uses a 64-bit 2.4 GHz quad-core ARM Cortex-A76 processor. The Raspberry Pi 5 uses the Broadcom BCM2712 SoC, which is a chip designed in collaboration with Raspberry Pi. The SoC features a quad-core ARM Cortex-A76 processor clocked at 2.4 GHz, alongside a VideoCore VII GPU clocked at 800 MHz.

  4. Wearable computer - Wikipedia

    en.wikipedia.org/wiki/Wearable_computer

    Smartwatches are an example of a wearable computer.. A wearable computer, also known as a body-borne computer, [1] [2] is a computing device worn on the body. [3] The definition of 'wearable computer' may be narrow or broad, extending to smartphones or even ordinary wristwatches.

  5. Wearable technology - Wikipedia

    en.wikipedia.org/wiki/Wearable_technology

    Wearable technology can exist in multiple different form factors. Popular smartwatches include the Samsung Galaxy Watch and the Apple Watch. A popular smart ring is the McLear Ring. A popular implant is the Dangerous Things NExT RFID + NFC Chip Implant, albeit such is not worn but implanted. [clarification needed] [citation needed]

  6. Thin client - Wikipedia

    en.wikipedia.org/wiki/Thin_client

    Some of the more graphically intense use cases remain a challenge for thin clients. These use cases might include applications like photo editors, 3D drawing programs, and animation tools. This can be addressed at the host server using dedicated GPU cards, allocation of vGPUs (virtual GPU), workstation cards, and hardware acceleration cards ...

  7. Meshtastic - Wikipedia

    en.wikipedia.org/wiki/Meshtastic

    Meshtastic uses hardware development boards, like ESP32 and nRF52840, that support LoRa and BLE communication technologies, along with GNSS receivers. These devices enable seamless mobile app connectivity via Bluetooth or Wi-Fi, allowing long-range message retransmission across a mesh network using LoRa transceivers.

  8. Tensor Processing Unit - Wikipedia

    en.wikipedia.org/wiki/Tensor_Processing_Unit

    [45] [46] The USB, PCI-e, and M.2 products function as add-ons to existing computer systems, and support Debian-based Linux systems on x86-64 and ARM64 hosts (including Raspberry Pi). The machine learning runtime used to execute models on the Edge TPU is based on TensorFlow Lite . [ 47 ]

  9. OMAP - Wikipedia

    en.wikipedia.org/wiki/OMAP

    They respectively support 24 and 20 megapixel cameras for front and rear 3D HD video recording. The chip also supports up to 8 GB of dual channel LPDDR2/DDR3 memory, output to four HD 3D displays and 3D HDMI 1.4 video output. OMAP 5 also includes three USB 2.0 ports, one lowspeed USB 3.0 OTG port and a SATA 2.0 controller.