Smart Ai Security Camera
Smart Ai Security Camera
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Smart AI security cameras built on the Rockchip RV1126 SoC and equipped with Sony’s IMX335 or IMX415 image sensors offer a high-performance, efficient solution for advanced video surveillance and AI-powered monitoring applications. Here’s what sets these camera modules apart:
Core Hardware Highlights
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Processor: Rockchip RV1126, featuring a quad-core ARM Cortex-A7 CPU (up to 1.5GHz) and a RISC-V MCU (400MHz), offering robust processing with low power consumption.
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AI Acceleration: Integrated Neural Processing Unit (NPU) with up to 2.0 TOPS, supporting mixed-precision AI inference for rapid object detection, face recognition, and advanced video analytics directly on the device—minimizing latency and reducing reliance on cloud infrastructure.
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Image Sensors:
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Sony IMX335: 5MP, 1/2.8″ CMOS sensor, ideal for standard security and surveillance scenarios with strong low-light performance.
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Sony IMX415: 8MP, 1/2.8″ Starvis back-illuminated sensor with 4K resolution and superior HDR (up to 120dB), excellent for applications demanding high detail, wide dynamic range, and superior night vision.
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Notable Features
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Video Quality: Supports 4K (3840×2160) video at 30fps and lower resolutions at higher frame rates; benefits from advanced ISP (image signal processing), wide dynamic range (up to 120dB HDR), and 2D/3D noise reduction for clearer, more vibrant footage in various lighting conditions.
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Compression & Streaming: Hardware acceleration for H.264/H.265 encoding ensures high video quality with efficient storage and transmission.
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AI Security Capabilities: On-device AI enables functions like face and human detection, intelligent motion tracking, people counting, intrusion detection, line crossing alerts, and privacy masking.
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Connectivity: Integrated PoE (Power over Ethernet), Ethernet, USB, TF card support (local storage up to 2TB SD/SDXC), and ONVIF/RTSP streaming for easy integration with existing security systems.
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Software Compatibility: The module supports popular AI frameworks (TensorFlow, PyTorch, Caffe, ONNX), making it straightforward to deploy and update custom AI models tailored for specific smart city or facility needs.
Use Cases
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Urban and enterprise video surveillance with real-time AI analytics.
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Automated facial recognition at entry points.
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Smart traffic enforcement and parking management.
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Crowd analysis and anomaly detection in public areas.
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Industrial or residential monitoring demanding high detail and reliability.
Comparative Notes: IMX335 vs IMX415
| Sensor | Resolution | Max Frame Rate | HDR | Low-Light | Use Case |
|---|---|---|---|---|---|
| IMX335 | 5MP | 4K@30fps | High | Strong | Standard surveillance, IPC |
| IMX415 | 8MP | 4K@30-60fps | Very High | Superior | High-res, night, outdoor, LPR |
Summary
Cameras with the Rockchip RV1126 and Sony IMX335/IMX415 sensors offer smart, efficient, and scalable video security with powerful built-in AI for autonomous monitoring, real-time alerts, and high-quality imaging—making them ideal for smart city infrastructure, critical facilities, and demanding surveillance environments.
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Specializing in FPGA-based Control, Processing, and Scceleration technologies
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Battery Emulator
• Dynamic charging/discharging simulation
• Highly adjustable output voltage/current
• Built-in bidirectional DC-to-DC buck converter
• Leakage detection available
Waveform Generator (Plug-in)
• Resolution: 16 Bits
• Refresh Rate: 125 MHz
• FSK/ASK signal generation
UltraScale+ Series
• Powered by: XCZU7EG / XCZU4EG / XCZU2EG
• Modular Design: offers flexible integration
• Compact Build: ideal for seamless embedment
• High Performance: combines FPGA + ARM + high-speed I/O for optimal efficiency
• Extensive IP Core Library: features a mature collection of FPGA IP cores
Power Monitor
- 8V-14V adjustable output voltage, maximum continuous output current 8A.
- Real-time collection of voltage, current and power data, which can be displayed graphically through software.
- Support power supply data acquisition of external power supply device for external device power analysis.
- Support using multiple devices simultaneously to enable parallel monitoring.
- Support USB and network communication modes and localized data storage function.
- Capable of power-on self-inspection and multi-faceted protection, including overvoltage, undervoltage, overcurrent and over-temperature protection.
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.
Zynq7000 Series
• Powered by: XilinxXC7Z020 / 010 / 007S
• Modular Design: enables flexible integration
• Compact Build: allows seamless embedment
• High Performance: FPGA + ARM + High-speed I/O
• Comprehensive FPGA IP core library
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