HOW TO GET IT
There are several ways to integrate our AI quality inspection into your product, depending on your specific requirements.
We offer a range of hardware-and-software bundles to help you get started quickly. However, since DVI is fundamentally an algorithm, you can also license it as a standalone software library for deployment on your own hardware. This standalone approach may be preferable if you need higher speeds than our bundled solutions can provide.
Starter Kit
Engicam carrier board for SMARC SoM with NXP i.MX 8M+, 2GB RAM, 8GB eMMC, Hailo-8 on M.2. 2x GbEth, 1x USB3, 2x USB2, LVDS, HDMI, RTC, etc.
Opt: 1x USB camera: global shutter, 100fps, color, 1MP, with HW trigger connected to carrier GPIOs.
XXX – board only
XXX – with camera
(distributed by us)
System on Module
SoM with NXP i.MX 8M+, with passive heatsink. Preinstalled Linux yocto with DVI APIs.
400€
(distributed by Avnet Silica as SilicaDVI01)
Industrial PC
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XXX – board only
XXX – with camera
(distributed by us)
Smart Camera
SCAILX is 42mm x 42mm, PoW, 2MP global shutter smart camera, hosting an NXP i.MX 8M+. Preinstalled Linux yocto with DVI APIs.
850€
(distributed by Videology as ScailxDVI01)
Software library
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XXX
(distributed by us)
In every case, DVI is licensed on a per-device basis, with no time limits. Training is included, and there are no recurring fees. Each license comes with a demo application, complete with open-source code for developers, and code snippets that demonstrate more advanced functionalities.
RESOURCES
At this page you find all the relevant resources to start your experience with the DVI.
All of Deep Vision Starter Kits are based on Linux Yocto and include the Deep Vision Jumpstart Code, a source code repository with all the fundamental software elements of a vision project with accelerated AI:
- Grabbing video with Gstreamer from UVC cameras
- Trigger GPIO signal for camera sync
- Gstreamer video enc/dec via NXP i.MX 8M Plus VPU
- AI acceleration on Hailo-8™
- AI acceleration on NXP i.MX 8M Plus NPU
- Vision pre and post processing via OpenCV
The Deep Vision Jumpstart Code should be enough to get you started, but if your challenge requires an extra mile, we are here to support you: our talented team of engineers and computer scientists is ready to get committed on your challenge and build on top of the Starter Kits what it takes to transform images, videos or 3D data into the valuable high-level insights that you need.
DVI Register form – LINK – MUST FILL
You will get access to the github repositories, receive the password to open the DEB file and get subscribed to update notifications.
Starter Kit documentation
DVI documentation