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AI-Thinker RD-Kit Radar Test Board
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Rd-Kit is a radar test board developed by Shenzhen Ai-Thinker Technology Co., Ltd. It is adapted to Rd-02B, Rd-02C, Rd-03, Rd-03D, Rd-03E and Rd-04, which is specially designed for radar debugging scenarios.
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Ai-Thinker Rd-03
Add to cart Rd-03 is a radar module developed by Shenzhen Ai-Thinker Technology Co., LTD. It equipped with silicon micro-S3KM1110 chips. S3KM1110 is an integrated single-chip millimeter-wave sensor SoC based on FMCW radar transceiver technology.
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Ai Thinker Rd-04
Add to cart Rd-04 is a motion sensing module based on X-band radar developed by Shenzhen Ai-Thinker Technology Co., LTD. The module uses Phosense’s XBR818 chip, and center frequency is 10.525GHz
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Chipset: S3KM111L+BL602
Application: smart home apllication
Other attributes
Model Number: Rd-01
Brand Name: Ai-Thinker
Supplier Type: IoT module
Product name: Rd-01
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- AI Performance:21 TOPS (INT8)
- GPU: NVIDIA Volta architecture with 384 NVIDIA CUDA® cores and 48 Tensor cores
- Max GPU Frequency: 1100 MHz
- CPU: 6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6 MB L2 + 4 MB L3
- Max CPU Frequency: 1900 MHz
- Memory:8 GB 128-bit LPDDR4x @ 51.2GB/s
- Storage: 16 GB eMMC 5.1
- Power: 10 W | 15 W
- Connector 60 pin SO-DIMM connector
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- Support Ardcuam Stereo Camera HAT
- Support OfficialIMX219 driver, Video Nodes, and Controls (Exposure, Gain and depending on camera parameters)
- Single Line Driver Installation Command
- Two MIPI camera inputs and one MIPI camera output
- Support 1, 2 lane MIPI cameras input up to 1Gbps/lane
- Support 2 lane MIPI output
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- STM32F401CDU6
- CPU – ARM Cortex M4,
- 384kb flash,
- 96kb RAM
- Voltages from 3.5v to 16v
- 33mm x 15mm (1.3 x 0.6 inch)
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- Processors Dual Cortex M0+ processors, up to 133 MHz
- SRAM 264KB/Flash 2MB
- Wireless connectivity 2.4〜2.4835 GHz
- Power/Download Type-C
- Power Supply 5V DC
- Wireless control
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- Base Frequency: 1.44GHz (1.92GHz Burst Frequency).
- RAM: 2GB DDR3L.
- Storage Capacity: 32GB.
- GPU: Intel HD Graphics, 12 EUs @200-500Mhz, single-channel memory.
- USB 3.0 x 1, USB 2.0 x 2.
- Gravity Interface Connectors x 6.
- Voltage: 5V@2A.
- Board Dimensions: 88 x 70mm / 3.46 x 2.76″.
- Package Dimensions: 110 x 94 x 30 mm/4.33 x 3.70 x 1.18″.
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- quad-core ARM® Cortex®-A57 MPCore processor
- 128-core NVIDIA Maxwell™ GPU with 128 NVIDIA CUDA® cores delivers 5 TFLOPs (FP16)
- Support wide range of AI application fast building with our ecosystem partners
- Storage: 16 GB eMMC 5.1 Flash
- Camera: 12 lanes (3×4 or 4×2) MIPI CSI-2 DPHY 1.1 (18 Gbps)
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- quad-core ARM Cortex-A57 MPCore processor
- 128-core NVIDIA Maxwell™ GPU with 128 NVIDIA CUDA cores delivers 5 TFLOPs (FP16)
- Support wide range of AI application fast building with our ecosystem partners
- Storage: 16 GB eMMC 5.1 Flash
- Camera: 12 lanes (3×4 or 4×2) MIPI CSI-2 DPHY 1.1 (18 Gbps)
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- 6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6MB L2 + 4MB L3
- 384-core NVIDIA Volta™ GPU with 48 Tensor Cores
- port, 4 USB 3.0 Type-A ports, HDMI port and DP ports
- DC Jack 19V 90W 4.74A MAX
- 1 x RJ45 Gigabit Ethernet Connector (10/100/1000)
- 8 GB 128-bit LPDDR4x @ 51.2GB/s
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- 6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6MB L2 + 4MB L3
- 384-core NVIDIA Volta™ GPU with 48 Tensor Cores
- port, 4 USB 3.0 Type-A ports, HDMI port and DP ports
- DC Jack 19V 90W 4.74A MAX
- 1 x RJ45 Gigabit Ethernet Connector (10/100/1000)
- 16 GB 128-bit LPDDR4x @ 59.7GB/s
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- Development board Model: EC-01-Kit
- Adaptive pattern combination: EC-01
- Packaging: DIP-14(2.54Spacing standard row needle)
- Size: 33.9*28.4*13(±0.2)mm
- Processor: Cortex-M3,
- Support: MPU
- Configurable: CPU frequency, Max 204MHz
- Storage: 4MB NOR Flash on chip
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- Module: name ESP-C3-M1-I
- Package: SMD-61
- Size 12.5*13.2*2.4(±0.2)mm
- Antenna: IPEX interface
- Frequency Range: 2400 ~ 2483.5MHz
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- Model ESP32-C3F/ ESP-C3-12F
- Package/Case SMD22
- Data Rate: up to 150Mbps
- Supply voltage: 3.6V
- Current: >500mA
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