Price: $79.99
(as of Aug 03, 2024 21:41:27 UTC – Details)
-Specification-
CPU: Synaptics VS680 quad-core Cortex-A73 (2.1GHz) and One Cortex-M3 processor
GPU: Imagination GE9920 GPU
NPU for AI: Up to 6 .75Tops
Memory: 4 GB LPDDR4
Storage:16G eMMC flash,MicroSD slot with support for up to 256GB expansion and support for up to 64GB
Network:10/100/1000 Mbit/s Ethernet ,Optional WiFi USB dongle
Video:1 x HDMI 2.1 (up to 4K@60Hz with HDR, CEC, EDID) out, and 1 HDMI in Port
Audio Output(s):1 x HDMI digital output
Display:MIPI DSI interface
M.2 interface:M.2 Key E(PCIe + MIPI CSI)
USB ports:USB 3.0 PORT (x4)
GPIO:
40 Pin Header : GPIO (x28) and Power (+5V, +3.3V and GND). GPIO pins can be used for UART, I2C, SPI or PWM
Switches:SPI boot and U-boot
LED:Power Status and Activity status
Power Source:5 volt @3A TYPE C
Size & Weight:92x60mm, 48g
OS:Android and Linux
-Package Content-
BPI-M6 single board computer x1
Heat Sink x1
-Technical Support-
Getting Start:”wiki.banana-pi.org/Getting_Started_with_BPI-M6″.
Please click “WayPonDEV” and ask a question.
Please leave the message “wpd#youyeetoo&com (#—>@,&—>.)” or skype: monica_9122.
[Greater Storage Scalability] BPI-M6 development board onboard 4GB LPDDR4 RAM and 16G eMMC flash with support for up to 64GB,with MicroSD slot and M.2 PCIe interface support for up to 256GB expansion, providing greater possibilities for AI edge computing development.
[4K Smart Home Audio and Video chip] BPI-M6 adopt quad-core 64-bit Cortex-A73 and Cortex-M3 architecture CPU chips, integrate Imagination GE9920 graphics processor GPU, support 4K video decoding and 4K video output.The Qdeo engine can drive two displays, allowing the device to power a 1080P touchscreen panel in a set-top box while streaming to a 4K TV.
[Wide range of applications] Synaptics VS680 CPU can be widely used in smart home devices. It is Integrated high-performance Imagination PowerVR Series9 GPU with HDR-capable ISP to handle two 4K cameras. DLA is combined with dual ISPs to run neural networks on the cameras’ video streams to perform tasks such as facial recognition, object recognition and security surveillance.
[Multifunction Interfaces] BPI-M6 single board computer onboard M.2 Key E (PCIe + MIPI CSI) port, 4 x USB 3.0 ports; 1 x GbE Gigabit Ethernet port; 1x HDMI-rx port and 1x Hdmi-tx port; GPIO: 40-pin header; Switches: Reset, Power and U-boot; Power Source: 5 volts at 3 amps via micro USB (TYPE C); Size & Weight: 92x60mm, 48g.
[SDK Document] Getting Start:”wiki.banana-pi.org/Getting_Started_with_BPI-M6″. BPI-M6 SBC support Android Linux. All technical and after-sales questions, please leave the message to “wpd#youyeetoo&com (#—>@,&—>.)” or click “WayPonDEV” store and ask the question.
(as of Aug 03, 2024 21:41:27 UTC – Details)
-Specification-
CPU: Synaptics VS680 quad-core Cortex-A73 (2.1GHz) and One Cortex-M3 processor
GPU: Imagination GE9920 GPU
NPU for AI: Up to 6 .75Tops
Memory: 4 GB LPDDR4
Storage:16G eMMC flash,MicroSD slot with support for up to 256GB expansion and support for up to 64GB
Network:10/100/1000 Mbit/s Ethernet ,Optional WiFi USB dongle
Video:1 x HDMI 2.1 (up to 4K@60Hz with HDR, CEC, EDID) out, and 1 HDMI in Port
Audio Output(s):1 x HDMI digital output
Display:MIPI DSI interface
M.2 interface:M.2 Key E(PCIe + MIPI CSI)
USB ports:USB 3.0 PORT (x4)
GPIO:
40 Pin Header : GPIO (x28) and Power (+5V, +3.3V and GND). GPIO pins can be used for UART, I2C, SPI or PWM
Switches:SPI boot and U-boot
LED:Power Status and Activity status
Power Source:5 volt @3A TYPE C
Size & Weight:92x60mm, 48g
OS:Android and Linux
-Package Content-
BPI-M6 single board computer x1
Heat Sink x1
-Technical Support-
Getting Start:”wiki.banana-pi.org/Getting_Started_with_BPI-M6″.
Please click “WayPonDEV” and ask a question.
Please leave the message “wpd#youyeetoo&com (#—>@,&—>.)” or skype: monica_9122.
[Greater Storage Scalability] BPI-M6 development board onboard 4GB LPDDR4 RAM and 16G eMMC flash with support for up to 64GB,with MicroSD slot and M.2 PCIe interface support for up to 256GB expansion, providing greater possibilities for AI edge computing development.
[4K Smart Home Audio and Video chip] BPI-M6 adopt quad-core 64-bit Cortex-A73 and Cortex-M3 architecture CPU chips, integrate Imagination GE9920 graphics processor GPU, support 4K video decoding and 4K video output.The Qdeo engine can drive two displays, allowing the device to power a 1080P touchscreen panel in a set-top box while streaming to a 4K TV.
[Wide range of applications] Synaptics VS680 CPU can be widely used in smart home devices. It is Integrated high-performance Imagination PowerVR Series9 GPU with HDR-capable ISP to handle two 4K cameras. DLA is combined with dual ISPs to run neural networks on the cameras’ video streams to perform tasks such as facial recognition, object recognition and security surveillance.
[Multifunction Interfaces] BPI-M6 single board computer onboard M.2 Key E (PCIe + MIPI CSI) port, 4 x USB 3.0 ports; 1 x GbE Gigabit Ethernet port; 1x HDMI-rx port and 1x Hdmi-tx port; GPIO: 40-pin header; Switches: Reset, Power and U-boot; Power Source: 5 volts at 3 amps via micro USB (TYPE C); Size & Weight: 92x60mm, 48g.
[SDK Document] Getting Start:”wiki.banana-pi.org/Getting_Started_with_BPI-M6″. BPI-M6 SBC support Android Linux. All technical and after-sales questions, please leave the message to “wpd#youyeetoo&com (#—>@,&—>.)” or click “WayPonDEV” store and ask the question.