Industrial Vision Controller with NVidia GPU for Deep Learning Defect Detection

IVC-7 Description

These compact Industrial Grade Vision Controllers (i5/i7/xeon 7th, 8th, 9th generation) designed for Deep Learning Anomaly Defect Detection are embedding 1x NVidia double deck graphic  cards (e.g. RTX2080 Ti). They are perfect candidates for complex and high speed visual Human-Like quality inspections. Low cost and compact, these Edge Computing units are commonly used to speed up the Artificial Intelligence Inspections in diverse productions industries and are able to inspect up to 8 paralel parts (8 parallel industrial GigE/USB3 cameras). These above standard performance Vision Controller can be used for traditional vision and deep learning inspections.

They possesses 3x PCIe connectors (1x PCIe x16 with double thickness slot + 1x PCIe x4 single + 1x PCIe x1). Several others versions are available.

If you are concerned of “Ecology and Environement” and would like to reduce production waste, we have the right solution for improving or retrofitting your production lines to increase throughput and reduce waste using cutting edge technologies. The complex and high speed visual quality inspections are solved using these “Artificial Intelligence” deep learning solutions.

 Type

Artificial Intelligence Deep Learning IPC / Edge AI Vision Controller

Supports:

– 250W GPU (e.g. RTX2080 Ti) PCIe x16 Double deck/slots.
– Framegrabber 4x POE LAN or 4x USB3 Vision. PCIe x16/x8/x4/x1.
– Intel i5/i7/xeon 7th, 8th, 9th generation.
– Industrial grade wall mount (see dimensions in attachment).
– Intel i7-9700 series embedding 8cores, 16GB RAM, 240 SSD, support up to 3 independents displays.
– Windows 10 IoT Entreprise High End.
– 4x 2.5” HDD/SSD slots for additional storage.
– Dimensions: 340 x 210 x 180mm
– 16 Digital Inputs + 16 Digital Outputs.
– 4x POE LAN + 2x GigE LAN.
– 6x USB3.0 compatible with USB3 Vision. 1x internal USB2 for license dongle.
– Dimensions: 340 x 210 x 180mm.

Applications Showcase

Visual Aesthetic & Functional Inspections / Gauging / Localizing /Classifying / Defect Detection / Augmented Intelligence Inspection / Decision Making Helper



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