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Blox is a modular hardware platform for edge AI applications built around the NVIDIA Jetson family. This industrial & rugged device has an anodized aluminium enclosure which functions as a heatsink. It’s available with an integrated 7” touchscreen, this modular setup is created by 2 extension slots, one dedicated for communication and one for interfacing. With various standard communication modules & interface modules
available to support a broad range of use cases. Due to the modular
design, you can custom build a specific solution without having to
redesign the whole platform, which speeds up time-to-market
significantly.
The AI-BLOX - Jetson Nano system is typically used for object detection applications or security systems with an embedded camera. The Mipi connectors allow high resolution & frame rate. The Nano allows up to 3 cameras The Mipi module is fully interchangeable with a 4xUSB or 4xEthernet module instead, depending on the camera & use case. Same goes for the communication module.
About AI-BLOX
AI-Blox wants to make edge technology easy. They believe edge technology can democratise the use of AI.
But edge intelligence requires specific hardware and we experienced
that a lot of new edge AI applications suffer on the hardware elements,
resulting in suboptimal hardware solutions. Also knowing that the
tooling landscape is still immature, and that there often is a knowledge
gap between software-hardware.
They know hardware can be hard, but believe this should not be the case and therefore they provide modular hardware blocks to accelerate your edge AI application rollout. Typically reducing 50% of the time spent on hardware selection, configuration & setup & maintenance. While they focus on the intelligence, we take care of the hardware.
Edge computing as a catelyst for AI adoption
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- AI-BLOX Modular Jetson Touch screen system
- 7” integrated capacitive touch screen (PCAP) - 700x480
- Powered by Jetson Nano (4GB)
- Incl power supply & sd card
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Model
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11.11.011
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GPU Module
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Jetson Nano (4GB)
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AI performance
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0.5 TFLOPS
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GPU
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128-core Nvidia Cuda GPU |
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CPU
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Quad-core ARM Cortex-A57 MPCore processor |
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Memory
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4GB 64-bit LPDDR4 25.6 GB/s |
| Storage |
16 GB eMMC 5.1 |
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Display |
7” integrated capacitive touch screen (PCAP) - 700x480 |
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I/O module |
6 x Mipi slots |
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Communication module |
Gigabit Ethernet |
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Power Supply
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12 V DC - 24 V DC (included)
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Dimensions |
115 mm x 38,8 mm x 197,2 mm |
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Weight |
700 g |
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Operation temperature |
-25°C … + 60°C |
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Storage temperature |
-40°C … + 85°C |
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Protection Class |
IP20 |
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Approvals/Marking |
CE
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Vibration/Shock Resistance
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conforms to EN 60068-2-6/EN 60068-2-27
EMC |
| Immunity/emission
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conforms to EN 60068-2-6/EN 60068-2-27
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Product Support
AI-Blox has a very active approach on
support. For support related questions, please contact: [email protected]
Edge computing as a catelyst for AI adoption
Download ebook
For our clients we provide:
- Mail support within 24 hours
- Active videocall support
- Access to a very extended documentation website on request
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