ProDVX APPC-10SFA (R25-7581)
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ProDVX APPC-10SFA (R25-7581)
ProDVX APPC-10SFA (R25-7581)
ProDVX APPC-10SFA (R25-7581)
ProDVX APPC-10SFA (R25-7581)
ProDVX APPC-10SFA (R25-7581)

The product's shade and actual color may differ from what is shown in the picture, as the images are for illustrative purposes. The product description is general and may not include all the product's features.

ProDVX APPC-10SFA (R25-7581)

859,00 €
699.00 €
Monthly payment from 18,90 €
4235069

5010740

2000001415238

Shipping 3-7 b.d.

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All about the product

The ProDVX APPC-10SFA is a versatile 10.1” Android Panel PC featuring a Full Surround LED bar, integrated NFC reader, front-facing 5MP camera, and motion radar sensor, designed to meet the needs of interactive and dynamic applications. Powered by the RockChip RK3568 Quad-core processor and running Android 13, it ensures smooth performance with 4GB RAM and 16GB storage, expandable via SD card. The Full Surround LED bar provides customizable RGB lighting for branding or status indication, while the NFC reader (NXP PN7160) enables seamless contactless interactions. The front-facing camera supports applications such as user identification or capturing visual data, and the motion radar sensor enhances automation by detecting proximity for energy-saving or interactive triggers. Its direct-bonded IPS touchscreen with 1280x800 resolution ensures sharp visuals and responsive touch. Additional features like PoE+, fanless cooling, mini-HDMI out, and versatile connectivity options (USB, LAN) make it ideal for retail, hospitality, healthcare, and industrial environments. Built for 24/7 operation with an MTBF of 50,000 hours, this compact yet durable device supports flexible mounting options to meet diverse business needs.
Display
Display diagonal 25.6 cm (10.1")
Display resolution 1280 x 800 pixels
LED backlight Yes
Display brightness 450 cd/m²
Touch technology Multi-touch
HD type HD
Display surface Matt
Native aspect ratio 16:10
Anti-glare screen Yes
Panel type IPS
Processor
Processor model RK3568
Processor family Rockchip
Processor cores 4
Processor frequency 2 GHz
Processor manufacturer Rockchip
Memory
Maximum internal memory 8 GB
Internal memory type LPDDR4-SDRAM
Internal memory 4 GB
Storage
Card reader integrated Yes
Compatible memory cards SD
Storage media eMMC
Audio
Built-in microphone Yes
Built-in speaker(s) Yes
Camera
Built-in camera Yes
Network
Bluetooth No
Ethernet LAN Yes
Near Field Communication (NFC) Yes
Ports & interfaces
USB 2.0 ports quantity 2
DC-in jack Yes
HDMI ports quantity 1
Mini HDMI ports quantity 1
USB 3.2 Gen 1 (3.1 Gen 1) Type-A ports quantity 1
USB 3.2 Gen 1 (3.1 Gen 1) Type-C ports quantity 1
USB 3.2 Gen 2 (3.1 Gen 2) Type-C ports quantity 0
USB4 Gen 3x2 ports quantity 0
USB 3.2 Gen 2 (3.1 Gen 2) Type-A ports quantity 0
Design
Product colour Black
Housing material ABS synthetics
Brand-specific features
Brand specific technologies AI-Q Engine, ClearFrame Design, FusionTouch Technology, ProSecure, SLB-Lumi Technology
Software
Operating system installed Android 13
Power
AC adapter output current 2 A
AC adapter output voltage 12 V
Weight & dimensions
Weight 600 g
Operational conditions
Operating relative humidity (H-H) 10 - 90%
Operating temperature (T-T) 0 - 40 °C
Storage temperature (T-T) -10 - 55 °C
Storage relative humidity (H-H) 10 - 90%
Other features
Optical drive type No
Battery type CR1220 Lithium metal, non rechargeable
Ethernet LAN data rates 10, 100, 1000
Contrast ratio (typical) 1000:1
Wi-Fi No
Panel mounting interface 75 x 75 mm
On-board graphics card Yes
Total storage capacity 16 GB
VESA mounting Yes
Certificates
Compliance certificates CE, RoHS, REACH, Federal Communications Commission (FCC), UKCA
Media formats
Audio formats supported AAC, WMA, WAV, MP2, ASF, OGG
Video formats supported H.264, MPEG4, MPEG2, MP4, MPG
Technical details
Touchscreen Yes
On-board graphics card model Arm Mali-G52
Neural processor unit (NPU)
Neural processor unit (NPU) RockChip NPU
AI datatype support on NPU FP16, Int8, BFP16, INT16
AI software frameworks supported by NPU Android NN, Caffe, Onnx, Pytorch, TensorFlow, Tflite
NPU performance up to 1 TOPs