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Huwei Intelligent launched a computing module based on the RK3399 platform and SMARC2.0 architecture
Publish Time：
2020-06-30 10:18
With the rapid development of industry informatization and the diversification of application needs in different industries, Shenzhen Huiwei Intelligent has launched its first SMARC2.0 computer module—TVI2317A—equipped with the RK3399 multi-core processor series. Based on the RK3399 64-bit dual-core Cortex-A72 + quad-core Cortex-A53 module, it is a high-performance module specifically designed for low-power embedded computer designs. Users can develop carrier boards with different functions based on the application needs of different industries for rapid secondary development. They can also choose different core boards in the same model to differentiate products of different grades in terms of performance, meeting the needs of different industry applications. This computing module can be selected in commercial and industrial versions according to the customer's application environment. The commercial version is 0℃~80℃ and can be used in general indoor applications; the industrial version is -20℃~85℃ and can be used in harsh outdoor environments, such as traffic control and industrial equipment. In addition, a 10-year long lifecycle supply is provided.
Powerful computing performance: CPU: 64-bit dual-core Cortex-A72 + quad-core Cortex-A53, maximum main frequency 1.8G, GPU: RK3399 Mali-T864 GPU, Support OpenGL ES3.2, Vulkan 1.0, OpenCL 2.0
*Different Antutu version scores will vary;
*Different hardware environments will also vary;
Excellent multimedia performance: Supports 4K 10-bit H264/H265 decoding, 4K VP9 decoding, supports multi-channel video encoding and decoding simultaneously; can be used in conference systems and electronic whiteboards, encoding one channel and decoding four channels simultaneously; can also be used for drone encoding and simultaneous transmission to the ground.
*Test conditions: Android calls Mpp (JNI Native) to decode local code stream files
In terms of embedded AI,
1. CPU/GPU computing units are universal and highly compatible, and the GPU can provide 102.4 GFLOPS computing power
2. Supports optimized TensorFlow Lite / Android NN (Android 8.1)
3. GPU supports Native FP16 computing: computing performance is doubled, bandwidth and energy consumption are reduced, and the model does not require additional processing
4. GPU performance allocation mechanism: specifies task priority within the application, and system-level allocation of GPU rendering/computing ratio
Meets the needs of various entry-level AI applications such as vision and audio: >20fps image recognition, >10fps general object detection; for example, offline translators, access control gates, face recognition and crowd counting. Rockchip provides technical support: model performance analysis and suggestions:
In terms of display performance, it supports dual-channel and triple-channel asynchronous display: dual-screen heterogeneous display can support up to 4K+2K, triple-channel asynchronous display can support up to 1080P+1080P+2.5K, dual-screen/triple-screen splicing display supports horizontal and vertical splicing, and the splicing ratio can be flexibly configured;
Rich IO expansion performance: This module has 2 USB3.0, 2 USB2.0, PCIe expansion bus, I²C expansion bus, I²S bus, SPI bus, URAT signal, GPIO signal, 1 Mipi_DSI, 1 Mipi_CSI, 1 Mipi_DSI/CSI selectable, 1 set of HDMI2.0 signals, 1 Gigabit Ethernet signal.
In terms of the system, it supports Linux Debian version and Android 7.1 system. The chip manufacturer Rockchip will maintain this Android version for a long time. System software can provide some customized features to meet the needs of different industry applications.
1. MIC array support (8ch IIS, supports audio 3a algorithm)
2. Multi-camera framework support (2 MIPI CSI, 8 USB cameras and above*)
3. Multi-screen splicing display, multi-screen heterogeneous display
4. Single/dual HDMI IN
5. Dual Ethernet (dual network card bridging, Internet access), static IP setting
6. Dual Wi-Fi (AP+STATION, AP+Direct)
7. Upgrade security (RK AB update, AB update)
8. Fast reverse processing, cold boot 2.5s, hot boot 0.03s
9. Trapezoidal correction algorithm
10. Camera startup speed (fastest ~1s)
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