Camera Module Wide Dynamic Manufacturers

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Hot Products

  • Core Board Test Fixture

    Core Board Test Fixture

    Core Board Test Fixture made in China can be bought with Low Price from Thinkcore Technology. If you want Pricelist and Quotation, you can ask us by leaving a message.
  • TC-RV1126 AI Core Board For Gold Finger

    TC-RV1126 AI Core Board For Gold Finger

    TC-RV1126 AI Core Board For Gold Finger: Rockchip RV1126 AI Core Vision Board 14nm quad-core 32-bit A7 low-power AI vision processor RV1126, built-in 2.0Tops neural network processor NPU. The core board adopts immersion gold technology, corrosion resistance;Built-in Video CODEC video codec, support 4K H.264/H.265@30FPS and multi-channel video codec.Thinkcore’s open source platform core boards and development boards.
  • RK3566 Core Board

    RK3566 Core Board

    RK3566 Core Board TC-RK3566 Highlights 1: High performance CPU & GPU TC-RK3566 Highlights 2: New generation (3rd Gen) Rockchip ISP TC-RK3566 Highlight 3: Powerful multimedia decode/encode capability TC-RK3566 Highlight 4: Integrated efficient RKNN AI processing unit
  • Rockchip RK3588 Core Board Board To Board

    Rockchip RK3588 Core Board Board To Board

    Free SDK rk3588 Core board 8K 6TOPS NPU For Artificial intelligence.Thinkcore Technology Co., Ltd. is a technical team focusing on embedded hardware research and development, design, production and sales. This Rockchip RK3588 Core Board Board To Board to board core board is suitable for all kinds of AI scenarios.
  • 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.
  • 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.

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