Smart Camera Ai
How does the 2.0 TOPS NPU in the RV1126 improve AI processing for smart city cameras
The 2.0 TOPS (Tera Operations Per Second) NPU in the Rockchip RV1126 significantly improves AI processing for smart city cameras by enabling efficient and powerful edge AI inference. Here’s how it enhances AI capabilities specifically for smart city applications:
High AI Computing Power with Efficiency: The integrated NPU delivers up to 2.0 TOPS computing performance, which supports mixed precision operations (INT8 and INT16). This allows the module to run complex AI models like face recognition, crowd analytics, and intelligent video analytics locally on the device with high accuracy and low latency, without relying heavily on cloud processing.
Independent NPU for Dedicated AI Tasks: The NPU operates independently from the main CPU cores, enabling specialized AI inference that is more efficient and faster. This results in real-time AI processing essential for responsive smart city camera tasks such as facial recognition or anomaly detection, reducing false alarms and increasing reliability.
Support for Popular AI Frameworks: The RV1126 NPU is compatible with major AI frameworks (TensorFlow, PyTorch, Caffe, ONNX), facilitating easy deployment and optimization of AI models tailored for smart city camera use cases, making development faster and more flexible.
: Offering high AI performance while maintaining low power consumption compared to GPU inference, the NPU makes the camera modules suitable for continuous operation in smart city environments where energy efficiency is critical.
Improved Video and Image Processing Integration: The 2.0 TOPS NPU works in synergy with a 14MP ISP and hardware video encoding/decoding (H.264/H.265 at 4K30fps), enabling smooth and intelligent video analytics by enhancing image quality and enabling advanced AI processing directly on high-resolution video streams.
In summary, the 2.0 TOPS NPU in the Rockchip RV1126 boosts smart city camera AI processing by delivering powerful, efficient, and real-time AI inference at the edge, supporting sophisticated tasks such as facial recognition, crowd monitoring, and anomaly detection with reduced latency, enhanced accuracy, and lower power consumption
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DMM Module (Plug-in)
• Resolution: 24 Bits
• Sampling Rate: 250 KSPS
• Noise isolation techniques for both power supply and digital I/Os
• High-accuracy measurement of voltage, current, resistance, inductance, and capacitance
• Diode/Triode testing
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.
MIPI Tester
• Supports testing of a single camera module
• Compatible with both C-PHY and D-PHY
• MIPI rates up to C-PHY 5 Gbps/trio and D-PHY 2.5 Gbps/lane
• Provides the necessary power, clock, and bus control configuration interfaces for the tested camera module
Waveform Generator (Plug-in)
• Resolution: 16 Bits
• Refresh Rate: 125 MHz
• FSK/ASK signal generation
DMM & LCR & SMU
• Digit: 6½
• Resolution: 24 Bits
• Sampling Rate: 250 KSPS
• Noise isolation techniques applied to both power supply and digital I/Os
Argos AI Barcode Scanner
• Capable of 1D, DM, QR and dot codes can be scanned
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• Generate fast decoding templates by self-learning
• Support autofocus
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