NEO-1 EDGE COMPUTING HUB

→ Compact size and lightweight
→ High performance computing with AI
→ Multi-gigabit Ethernet options
→ 16 performance levels for extended operations
→ Fanless and ruggedised.

INTRODUCING THE ULTRA-COMPACT SYSTEM COMPANION FOR ALL ARTIFICIAL INTELLIGENCE APPLICATIONS IN A HIGH-SPEED, LOW-POWER PORTABLE DEVICE.

 

Introducing the ultra-compact system companion for all artificial intelligence (AI) applications in a low-power, high-speed portable device. This computing hub will deliver a powerful 90 TOPS peak AI performance combined with 20 Gbps internal data bandwidth, meeting the demands of many fielded systems with limited liftoff, power or endurance capacity. Install custom libraries on the Linux operating system and use the software API to load and run AI models. Over 20 leading-edge AI frameworks are supported. Execute multiple neural networks in parallel and process high-resolution multi-sensor data simultaneously with four high-speed USB connectors. With dual Ethernet ports, the device can simultaneously be networked and connected to smart systems and cameras that use this interface.

NEO-1 comes with:

Protective (waterproof, shockproof, multi-lock) case

 

PRODUCT APPLICATIONS

Drones

SmartIoT

Autonomous surfacevessels

Visual recognition& tracking

Autonomous underwatervehicles

Industrial inspectionsystem

Rovers

Signalclassification
 

TECHNICAL SPECIFICATIONS

Peak AI Performance	90 TOPS
Processor	Multi-core ARMv8, 64-bit operations
RAM	4 GB DDR4 SDRAM with ECC (up to 8 GB)
Video codec	H.264, H.265 (HEVC)
Networking	Real time clock with leap year adjustment
USB	4x USB 3.0 Type-A (15 Gbps max)
Ethernet	2x 1 Gbps (options: 2.5 Gbps, 10 Gbps)
Sensors	Vibrations: 3-axis lateral and 3-axis longitudinalTemperature: Device, processor, co-processor Power monitors: Device (total power), processor, co-processor
Storage	64 GB eMMC with ECC (up to 512 GB)
Input voltage	12V (4-pin connector)
Power consumption	5W (nominal)
Operating Temperature	-40°C to +85°C
Dimensions	100 x 100 x 30mm (Width x Depth x Height)