Security Camera Ai
Security Camera Ai
Security Camera AI modules based on Rockchip SoCs like the RV1126, RV1109, and RV1106 are well-regarded platforms designed for intelligent video surveillance and facial recognition tasks in security applications.
Key points about Rockchip AI Security Camera Modules:
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Rockchip RV1126:
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Quad-core ARM Cortex-A7 CPU with integrated NPU delivering up to 2.0 TOPS, providing powerful real-time AI processing for facial recognition, human detection, and advanced video analytics.
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Supports 14MP image sensors (e.g., Sony IMX415), with 4K video encoding and decoding at 30fps (H.264/H.265).
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Features advanced ISP with multi-frame HDR and noise reduction for clear images even in challenging lighting.
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Rich peripheral interfaces including Ethernet with PoE, USB, WiFi module support via SDIO, and TF card storage.
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Suitable for high-end smart city surveillance, access control, and intelligent monitoring systems.
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Software compatibility with popular AI frameworks like TensorFlow, PyTorch, Caffe, and ONNX.
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Offers longer recording time and efficient video compression using Smart265 technology, cutting bandwidth and storage needs without sacrificing quality.
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Rockchip RV1109:
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Dual-core Cortex-A7 CPU with 1.2 TOPS NPU — moderate AI power suitable for mid-range security cameras.
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Supports up to 5MP sensors with efficient image processing.
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Pin-to-pin compatible with RV1126 for easy upgrades.
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Targeted at self-service terminals, basic smart security, and video communication applications.
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Rockchip RV1106 (less prominent for high-end AI):
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Single-core Cortex-A7 with low-power NPU (~0.5 TOPS or below).
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Supports up to 4MP sensors with basic AI features like motion detection.
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Suitable for entry-level and cost-sensitive security products[previous conversation history].
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Overall, Rockchip AI camera modules excel in combining efficient AI inference at the edge, high-quality imaging, and robust connectivity suited for modern smart security cameras. The RV1126 is the flagship choice for AI security modules with comprehensive capabilities for real-time facial recognition and intelligent video analytics, while RV1109 fills mid-range needs, and RV1106 targets budget segments.
If you seek a smart AI security camera module with powerful on-device AI, support for high-resolution sensors, and extensive connectivity options, the Rockchip RV1126-based modules are the recommended choice.
Let me know if you would like specific product recommendations, detailed specs, or software/SDK details for these AI camera modules.
Get Test & Measurement Technologies & Solutions!
Specializing in FPGA-based Control, Processing, and Scceleration technologies
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MIPI RFFE Controller
- Xilinx Zynq SoM, Arm Cortex-A9
- Provide Ethernet and USB management interfaces
- Support dual-channel MIPI RFFE control interface
- Support UUT power supply, VIO voltage and current monitoring
- Provide one SMA trigger input interface and multiple extended GPIOs
- Support to extend other custom protocol interfaces
Horus AI Camera
• AI camera modules based on Rockchip RV1126
• Quad core ARM Cortex A7 processor
• Support NNIE performance up to 2.0Tops
• Offer USB2.0 x 1/Ethernet port x 1/UART x 2/TF card expansion interface
• Accelerates AI algorithm hardware deployment
• IPC 38-Board standard structure design, quick on-demand customization of enclosures
Data Logger
• Resolution: 32 Bits
• Sampling Rate: 250 KSPS
• Recording dual-channel voltage inputs simultaneously and continuously
• Uploading raw data to the PC in real-time
3.75 GHz RF Acquisition and Playback Module
• Main Controller: XCKU040-2FFVA1156I chip form Xilinx UltraScale series
• RF Performance: Supports dual channels, with 2-lane TX channels supporting 10MHz to 6GHz frequency output; 2-lane RX high-speed adjustable data channels offering frequency input from 10MHz to 8GHz
• Extensive Expansion Interfaces: 2 HPC FMC expansion interfaces, 2 Gigabit Ethernet interfaces, 2 JTAG download and debugging interfaces and 1 M.2 socket interface
• ADC Performance: 14-bit resolution, 3 GSPS sampling rate
• DAC Performance: 16-bit resolution, 12.6 GSPS sampling rate
• Customization: offer customization services for the hardware interfaces and functions of the FPGA development board, along with ADC and DAC submodule
BMU Tester
• Precision grade 0.01%
• Support DC voltage, current, nA level standby current, resistance and other routine tests
• Support over/under-voltage, over-shoot/discharge temperature, short-circuit and other protection tests
• Communication bus levels are programmable and compatible with a wide range of Gas Gauge ICs
• Support SWD or llC firmware burn-in
• Fast testing speed, supporting up to 24 channels of parallel testing
• Powerful software with friendly user interfaces, which can be uploaded to the MES system and used as a test device in R&D or production
Source-Measurement Unit (SMU)
• Combines the functions of five instruments (digital multimeter, voltage source, current source, electronic load, and pulse generator) into one unit.
• Typical output sources with 0.02% measurement accuracy, supporting both DC and pulse output modes.
• Pulse output mode with a minimum pulse width of 100 us and a rise time of 10 us.
• High-precision source with pA-level resolution and support for multi-channel parallel current expansion.
• Supports 2-wire and 4-wire resistance measurements.
• Compatible with SCPI driver and commands.
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