SKU | AN3566 Android Edge Computer |
Processor | Four-core 64 bit Cortex-A55 |
Memory | 2G/4G |
Storage | 32G/64G/128G |
Net work | 1*LAN |
COM | 2*RS232（COM1 support RS485） |
USB | 6*USB |
Display | 1*HDMI |
Expand slot | 1*LINE OUT |
Operating system | Android , Linux(Ubuntu/Debian) |
Power Input | DC12V |
Size included rack (mm) | 183x183x45 |
Individual Gross Weight (KG) | 0.90 |
Mounting Options | Wall-mounted / Desktop |
Operating Temperature | -10 ~ +60°C |
Storage Temperature | -10 ~ +70°C |
Storage Humidity *Non-condensing | 5 ~ 90% |
Packaging Information | 1 *Master, 1 *Adapter, 1* Power Supply Cable |
Our Vincanwo brand Android Edge Computer AN3566 use edge computing to process data locally, which can improve the user experience and app functionality:
Low latency:
Edge computing reduces latency by processing data closer to the user, which allows apps to respond faster.
Offline functionality:
Edge computing allows apps to function offline, which is useful when a connection is unavailable.
Data privacy:
Edge computing protects user privacy by storing sensitive data locally.
Reduced bandwidth usage:
Edge computing reduces the amount of data that needs to be transferred over a network.
Real-time analytics:
Edge computing allows developers to leverage immediate insights from user interactions to improve apps.
Scalability:
Edge computing can distribute services across multiple devices.
Resilience:
In an edge computing environment, if one component fails, others can take over its functions.
Android Edge Computer AN3566 offers several advantages, including:
Performance:
Apps can respond faster because they don't have to go to the cloud for each query.
Security:
Data is stored in one place, making it easier to secure.
Availability:
Apps can be used offline in places without connectivity.
Android Edge Computer AN3566 is the practice of storing and using data locally on the device it was created on. It can be beneficial for a variety of fields and technologies that require fast real-time data processing, such as healthcare, AI, AR, and IoT.
SKU | AN3566 Android Edge Computer |
Processor | Four-core 64 bit Cortex-A55 |
Memory | 2G/4G |
Storage | 32G/64G/128G |
Net work | 1*LAN |
COM | 2*RS232（COM1 support RS485） |
USB | 6*USB |
Display | 1*HDMI |
Expand slot | 1*LINE OUT |
Operating system | Android , Linux(Ubuntu/Debian) |
Power Input | DC12V |
Size included rack (mm) | 183x183x45 |
Individual Gross Weight (KG) | 0.90 |
Mounting Options | Wall-mounted / Desktop |
Operating Temperature | -10 ~ +60°C |
Storage Temperature | -10 ~ +70°C |
Storage Humidity *Non-condensing | 5 ~ 90% |
Packaging Information | 1 *Master, 1 *Adapter, 1* Power Supply Cable |
Our Vincanwo brand Android Edge Computer AN3566 use edge computing to process data locally, which can improve the user experience and app functionality:
Low latency:
Edge computing reduces latency by processing data closer to the user, which allows apps to respond faster.
Offline functionality:
Edge computing allows apps to function offline, which is useful when a connection is unavailable.
Data privacy:
Edge computing protects user privacy by storing sensitive data locally.
Reduced bandwidth usage:
Edge computing reduces the amount of data that needs to be transferred over a network.
Real-time analytics:
Edge computing allows developers to leverage immediate insights from user interactions to improve apps.
Scalability:
Edge computing can distribute services across multiple devices.
Resilience:
In an edge computing environment, if one component fails, others can take over its functions.
Android Edge Computer AN3566 offers several advantages, including:
Performance:
Apps can respond faster because they don't have to go to the cloud for each query.
Security:
Data is stored in one place, making it easier to secure.
Availability:
Apps can be used offline in places without connectivity.
Android Edge Computer AN3566 is the practice of storing and using data locally on the device it was created on. It can be beneficial for a variety of fields and technologies that require fast real-time data processing, such as healthcare, AI, AR, and IoT.
