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V831
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Nhà sản xuấtAllwinner Tech
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Ông. Phần #V831
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Bảng dữ liệu V831 DataSheet
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Có sẵn4107
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Thông số kỹ thuật
| thuộc tính | Giá trị |
| Manufacturer | Allwinner Tech |
| Package / Case | QFN-88 |
Tổng quan
Equivalent
- Kendryte K210: RISC-V dual-core, low-power AI chip.
- ESP32-S3: Wi-Fi/BLE, AI acceleration (from Espressif).
- STM32H7: High-performance MCU (Cortex-M7, from STMicro).
- Raspberry Pi RP2040: Dual-core Cortex-M0+ (no AI but versatile).
- Sigmastar SSD202D: ARM Cortex-A7, AI-focused.
These offer similar features like edge AI, low power, or connectivity. Choose based on specific needs (AI, connectivity, or cost).
Features
- CPU: Single-core Cortex-A7 @ 1.2GHz
- NPU: 0.2 TOPS AI accelerator for lightweight edge AI tasks
- Memory: 64MB DDR3 integrated
- Video: Supports 1080p@30fps H.264/H.265 encoding/decoding
- ISP: Basic image signal processing for camera input
- Connectivity: MIPI CSI, DVP camera interface, USB 2.0, SPI, I2C, UART
- Power Efficiency: Optimized for battery-powered devices
- OS Support: Linux-based systems
Ideal for smart cameras, AI vision modules, and low-cost IoT devices requiring basic AI processing.
Pinout
- CPU: Single-core Cortex-A7 @ 1.2GHz
- NPU: 0.2 TOPS AI acceleration
- Memory: Supports DDR3/DDR3L up to 512MB
- Video: H.264/H.265 encoder (1080p@30fps)
- Camera: MIPI CSI input
- Connectivity: USB 2.0, SPI, I2C, UART, PWM, GPIO
- Storage: Supports NAND Flash, SD card
Designed for edge AI applications like smart cameras and IoT devices.
Manufacturer
Application
1. Smart Cameras – For facial recognition, object detection, and security monitoring.
2. IoT Devices – Enables real-time AI processing in smart home and industrial IoT applications.
3. Robotics – Supports vision-based navigation and obstacle avoidance.
4. Retail Analytics – Used in cashier-less stores and customer behavior analysis.
5. Drones & UAVs – Enhances autonomous flight and target tracking.
6. Embedded Systems – Powers low-power, high-efficiency AI applications.
Its compact size, low power consumption, and neural network acceleration make it ideal for edge AI deployments.