Swedish flag with blue background and yellow cross, symbolizing Sweden's national identity and heritage.

Vretenborgsvägen 28, floor 6
SE – 126 30 Hägersten
Phone: + 46 8 683 03 00

Norwegian flag featuring a blue cross with white borders on a red background, symbolizing Norway.

Midstranda 51
NO – 2321 Hamar
Phone: + 47 62 54 02 91

Flag of Denmark, national flag with red background and white cross, symbolizing Danish heritage and pride, used in official and cultural contexts in Denmark.

Hassellunden 14
DK – 2765 Smørum
Phone + 45 70 300 310

Get connected

Linkedin
Contact us

ITL-ADLSI9-A10-NVA2-32512

Intelli i14 Edge – Vision System Embedded Box PC by AAEON

The AAEON Intelli i14 Edge is a compact vision system embedded box PC powered by the 14th generation Intel Core i9-14900T processor at up to 65 W, paired with an integrated NVIDIA RTX A2000 or RTX A4500 MXM graphics module for demanding machine vision and AI inference workloads. In a compact 205 x 190 x 70 mm chassis, it combines DDR5 ECC memory up to 32 GB, dual NVMe M.2 storage, dual LAN including 2.5 GbE, and TPM 2.0 security in a ready-to-deploy platform for industrial vision, quality inspection, and edge AI applications. Available from Recab, your Nordic partner for AAEON embedded vision computing solutions.
contct-now-icon (2) Get datasheet
Description
The AAEON Intelli i14 Edge is a purpose-built vision system embedded box PC designed for machine vision, AI-powered quality inspection, and edge inference applications where both high CPU performance and dedicated GPU compute are required in a compact deployable form factor. The system is powered by a 14th generation Intel Core i9-14900T processor at up to 65 W on the Intel R680E chipset, delivering the multi-core throughput needed for parallel vision pipeline processing. Graphics are handled by an integrated NVIDIA RTX A2000 or NVIDIA RTX A4500 MXM module, providing professional-grade GPU compute for deep learning inference, 3D inspection, and real-time image analysis workloads. Two DDR5 SO-DIMM slots support up to 32 GB of 4800 MT/s memory with ECC support, which is critical for error-sensitive industrial vision environments. Dual M.2 2280 M-Key NVMe slots provide high-speed local storage for model weights, image buffers, and logging, while an M.2 2230 E-Key slot is available for wireless expansion. Networking is served by a 2.5 GbE Intel I226-IT port and a 1 GbE Intel I219-LM port, supporting high-throughput image data transfer to upstream systems. Five USB 3.2 Gen1 Type-A ports and one USB 3.2 Gen2 Type-C port connect cameras, peripherals, and vision sensors, and dual DisplayPort outputs allow connection of inspection monitors or operator displays. The system measures just 205 x 190 x 70 mm and weighs under 3 kg, making it straightforward to integrate into production line enclosures and inspection stations. TPM 2.0, CE and FCC Class A, RoHS, and REACH certification complete the specification. Available from Recab, your Nordic partner for AAEON embedded vision computing solutions.
Features
  • 14th gen Intel Core i9-14900T processor at up to 65 W delivers high multi-core throughput for parallel vision pipeline workloads.
  • Integrated NVIDIA RTX A2000 or RTX A4500 MXM module provides professional GPU compute for deep learning inference and 3D inspection.
  • Dual DDR5 SO-DIMM slots support up to 32 GB of 4800 MT/s ECC memory for error-sensitive industrial vision environments.
  • Dual M.2 2280 NVMe slots deliver high-speed local storage for model weights, image buffers, and inspection data logging.
  • Five USB 3.2 Gen1 and one USB 3.2 Gen2 Type-C ports connect multiple cameras, vision sensors, and peripheral devices simultaneously.
  • Compact 205 x 190 x 70 mm chassis with dual DisplayPort outputs and dual LAN enables straightforward production line integration.
Specifications
CPU Intel® Core™ i9-14900T
Memory DDR5 SODIMM x 2, 32GB
Storage M.2 2280 M-Key x 2
Graphics NVIDIA RTX™ A2000
Ethernet 2.5GbE x 1, 1GbE x 1
Power 12V DC-In
Weight 6.57 lbs
Temperature 0°C to 50°C
Humidity 0% to 90% RH
MTBF 1,373,882
  • Machine vision and automated optical inspection on industrial production lines
  • Edge AI inference and deep learning model deployment in factory automation systems
  • 3D inspection and real-time image analysis requiring dedicated professional GPU compute
  • Quality control and defect detection systems in semiconductor and electronics manufacturing

Get datasheet