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Hotline: Europe: 00-800-24-26-80-80 | USA: 1-800-205-7940 | Global Contact |
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Implementing AI technologies is important for advancing the scope of IIoT. AI technologies are highly tailored to individual tasks and each application requires specialized research and unique construction. Deep Learning, a form of machine learning based on trained datasets, has facilitated advanced pattern recognition in images, video, and object/activity recognition. Its algorithms can be applied widely to an array of applications that rely on pattern recognition. |
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In training process, labeled data is fed into a black model. With each piece of data, the model adjusts and updates its weight, making it incrementally more accurate. This can continue until an acceptable level of accuracy is reached. |
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Inference is implemented at the edge or in the data center. In this step, an data or image is fed through the completed model and then recognized. The output is a prediction of what is contained in an data or image. |
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Full Range Product
Portfolio |
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Deep Learning
Library |
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Real-Time Video
Analysis |
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Edge Inference
System |
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Traffic management |
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Law enforcement |
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Parking management |
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Public safety |
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People counting and tracking |
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Licensed plate recognition |
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Face detection and recognition |
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Event detection |
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| MIC-7500AI |
Fanless and industrial-
grade application |
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| MIC-7900AI |
4x LANs and iDoor
supported |
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| AiMC-3202AI |
High computing power
for vision analytics |
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| AiMC-3422AI |
Mini-tower form factor
with elegant design |
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| AGS-923 |
2U rackmount, 4*GPU cards
(Tesla, GTX1080) support |
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| SKY-6400 |
4U or Tower, 4*GPU cards
(Tesla, GTX1080) support |
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| HPC-7320 |
3U rackmount, 2*GPU cards
(Tesla, GTX1080) support |
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| DVP-7011HE |
4-ch analog HD
video capture |
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| DVP-7011MHE |
1-ch M.2 HDMI/DVI
HD capture |
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| SKY-TESLA-P4 |
Tesla P4 Inference
Accelerator |
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| GFX-NG1050TIF16-5D |
GTX-1050 Inference
Accelerator |
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