Object Recognition is a widely used technology in VID(Video-Image-Detection) applications and can adapt to almost every industrials or applications. As far as the software developers are concerned, the most important thing is to make AI catching unique points of the object through deep learning. In the other hand, built a high flexible platform, which is able to meet the demands for kinds of applications, became the essential topic for the hardware developers.
In order to support developers to conquer the challenges that they will face during hardware and software developing, Aetina integrated our embedded edge AI computing platform with eco-system partners’ algorithm and SDK, which provides the object detection solution for different kinds of industrials. Aetina embedded edge AI computing platforms are designed in small form factor and low power consumption with industrial-grade components used, which is carried with abundant I/O function and extension peripheral modules, such as extension I/O module, VID(video-image-detection) module or 5G WiGig solution, enhance the applicability in different scenarios.
Furthermore, we collaborate with eco-system partner to integrate hardware platform with algorithm and deep learning SDK that be able to adapt the unique demands from practical applications. Through deep learning SDK platform, developers can customize their own algorithm and reduce the cost of software developing, which saving the resource for adjustment and integration of the practical scenario setting.
Flexible Deployment | GPU Accelerator | Integration & Customization |
Aetina Jetson Edge AI Computing Platform
Nvidia Jetson AGX Xavier | |
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• GPU : 512 Volta Cores & 64 Tensor Cores • CPU : 8-core ARM v8.2 64-bit CPU, 8MB L2 + 4MB L3 • Memory : 16 GB 256-bit LPDDR4 • Camera : 16 lanes MIPI CSI-2 |
AX710 | |
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Supported up to 6x FHD or 4x 4K camera modules • Power Type : 9V~20V DC • Dimensions : 112 x 107 mm • Operating Temperature : -40°C ~ +85°C |
Nvidia Jetson TX2 | |
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• GPU : 256 Pascal Cores • CPU : 6 core Denver and A57 • Memory : 8GB 128-bit LPDDR4 • Camera : 12 lanes MIPI CSI-2 |
Hardware Peripherals | |||||||||||||||||||
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VID(Video-Image-Detection) Module ▼
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Monitor or Panel PC |
Software & Algorithm | ||||||||||
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Algorithm ▼
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Software ▼
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Edge Database |