SKU | AN3568 Edge computing for IoT devices Android |
Processor | Four-core 64 bit Cortex-A55, with a maximum clock speed of 2.0GHz |
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 |
And the most benefits of our vincanwo branding AN3568 Edge computing for IoT devices Android:
Reduced Latency:
By processing data closer to the source on the device itself, edge computing minimizes the time it takes to react to events, making it ideal for applications requiring quick responses like real-time monitoring or control systems.
Enhanced Security and Privacy:
Sensitive data can be processed locally on the device before being sent to the cloud, reducing the risk of data breaches during transmission over the network.
Bandwidth Optimization:
Our vincanwo branding AN3568 Edge computing for IoT devices Android allows for data filtering and aggregation on the device, meaning only relevant information is sent to the cloud, reducing network congestion and saving bandwidth.
Improved Reliability:
By relying less on cloud connectivity, edge computing can maintain functionality even in areas with unstable network conditions.
Scalability:
Infrastructure can be easily expanded by adding more edge devices as needed to accommodate growing data demands.
Real-time Decision Making:
With local data processing, Android IoT devices can make immediate decisions based on real-time sensor data without needing to wait for cloud responses.
Examples of how our vincanwo branding AN3568 Edge computing for IoT devices Android can be used with Android IoT devices:
Smart Home Applications:
Sensors like motion detectors can process data locally to trigger actions like lighting adjustments or security alerts without requiring constant cloud interaction.
Industrial Monitoring:
Sensors on factory equipment can perform basic data analysis on-device, alerting operators to potential issues before they become major problems.
Wearable Devices:
Fitness trackers can analyze sensor data in real-time to provide immediate feedback on activity levels without relying heavily on cloud processing.
SKU | AN3568 Edge computing for IoT devices Android |
Processor | Four-core 64 bit Cortex-A55, with a maximum clock speed of 2.0GHz |
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 |
And the most benefits of our vincanwo branding AN3568 Edge computing for IoT devices Android:
Reduced Latency:
By processing data closer to the source on the device itself, edge computing minimizes the time it takes to react to events, making it ideal for applications requiring quick responses like real-time monitoring or control systems.
Enhanced Security and Privacy:
Sensitive data can be processed locally on the device before being sent to the cloud, reducing the risk of data breaches during transmission over the network.
Bandwidth Optimization:
Our vincanwo branding AN3568 Edge computing for IoT devices Android allows for data filtering and aggregation on the device, meaning only relevant information is sent to the cloud, reducing network congestion and saving bandwidth.
Improved Reliability:
By relying less on cloud connectivity, edge computing can maintain functionality even in areas with unstable network conditions.
Scalability:
Infrastructure can be easily expanded by adding more edge devices as needed to accommodate growing data demands.
Real-time Decision Making:
With local data processing, Android IoT devices can make immediate decisions based on real-time sensor data without needing to wait for cloud responses.
Examples of how our vincanwo branding AN3568 Edge computing for IoT devices Android can be used with Android IoT devices:
Smart Home Applications:
Sensors like motion detectors can process data locally to trigger actions like lighting adjustments or security alerts without requiring constant cloud interaction.
Industrial Monitoring:
Sensors on factory equipment can perform basic data analysis on-device, alerting operators to potential issues before they become major problems.
Wearable Devices:
Fitness trackers can analyze sensor data in real-time to provide immediate feedback on activity levels without relying heavily on cloud processing.
