mini Embedded industrial pc Manufacturers

Our enterprise insists all along the quality policy of "product high-quality is base of organization survival; customer gratification will be the staring point and ending of an company; persistent improvement is eternal pursuit of staff" and also the consistent purpose of "reputation very first, purchaser first" for mini Embedded industrial pc,Rockchip RK3576 Embedded ARM Industrial Control board,mini Industrial Computer,RK3576 computing box,RK3576 Edge computing, In addition, we would properly tutorial the purchasers about the application techniques to adopt our items plus the way to select appropriate materials.
mini Embedded industrial pc, As a way to make use of the resource on the expanding information and facts in international trade, we welcome prospects from everywhere on the web and offline. In spite in the top quality products and solutions we offer, effective and satisfying consultation service is supplied by our professional after-sale service group. Solution lists and comprehensive parameters and any other info weil be sent for you timely for the inquiries. So remember to get in touch with us by sending us emails or contact us if you have any concerns about our firm. ou can also get our address info from our web site and come to our enterprise. or a field survey of our solutions. We're confident that we're likely to share mutual results and build solid co-operation relations with our companions in this market. We're looking forward to your inquiries.

Hot Products

  • Rockchip RK3566 Core Board

    Rockchip RK3566 Core Board

    Thinkcore is a leading China Rockchip RK3566 Core Board manufacturer. It supports the configuration of dual gigabit adaptive RJ45 Ethernet ports, which can access and transmit data on the internal and external networks through the dual network ports, improving network transmission efficiency;supporting wireless network.
  • Rockchip RK3588 Development Board

    Rockchip RK3588 Development Board

    Rockchip RK3588 Development Board is the new generation flagship chip of Rockchip, which uses an 8-core CPU (4-core Cortex-A76 + 4-core Cortex-A55) with 8nm production process. Support 8K 60HZ video output and decoding, internal integration 6.0 Tops NPU, can meet the edge computing needs of most terminal devices.
  • RV1126 System on Module

    RV1126 System on Module

    RV1126 system on module takes Low-consumption AI vision processor Rockchip RV1126, with 14nm lithography process and quad-core 32-bit ARM Cortex-A7 architecture, integrates NEON and FPU — the frequency is up to 1.5GHz.
  • RK3588 Board SBC Computer

    RK3588 Board SBC Computer

    Shenzhen Thinkcore Technology Co., Ltd. Is a supplier of ARM platform development board technology solutions. This high-performance RK3588 Board SBC Computer to board development board, also a MIPI-PC SBC single-board computer, comes with RK3588 datasheet, open source. It supports Linux and android system . With8-Core CPU, 6 tops NPU and ARM Mali-G610 MC4 , it is suitale for high-quality android tv, Nas, smart Gate, table, mini pc, Highly demanding cameras, Artificial intelligence, robotics, smart home, autonomous driving and other fields.
  • RV1126 USB AI Camera

    RV1126 USB AI Camera

    RV1126 USB AI Camera is equipped with high-performance quad-core AI vision processor with built-in AI neural network acceleration NPU, the core board has capable computing power up to 2.0 Tops, which can achieve efficient face recognition and detection; it supports multi-channel video coding and decoding and provides various interfaces.
  • TC-RK3568 Core board

    TC-RK3568 Core board

    TC-RK3568 Core board is a high-performance core board designed by Shenzhen Thinkcore based on the RK3568 micro processor of Rockchip. The CPU adopts a quad core 64 bit Cortex-A55, 22nm advanced technology, and the main frequency is up to 2.0GHz; Integrated ARM G52 2EE GPU, fully compatible with OpenGL ES 1.1/2.0/3.2, OpenCL 2.0, Vulkan 1.1, etc; Built in the third generation NPU RKNN developed by Rockchip Micro, the computing power is 0.8Tops, and it supports deep learning frameworks such as caffe, TensorFlow, mxnet, etc. The model can be converted with one click.

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