Imago - Visioncam 2021 _hot_
: Features digital inputs and outputs (Opto I/Os), an RS-232 serial interface, and a Gigabit Ethernet (GigE) RJ45 connection supporting industrial fieldbus protocols.
It is frequently used with the ViewIT software framework, which simplifies access to camera parameters and image processing functions. Key Features and Capabilities (circa 2021-2022)
is a fully embedded deep learning-based image processing solution. Unlike conventional setups requiring an external PC, specialized GPU hardware, and extensive programming knowledge, the AI.go handles learning and inference tasks directly on the camera.
: Without writing a single line of code, the supervisor uses the camera's intuitive Web GUI to "teach" it. They show the camera roughly 30 sample images of the different chocolates.
The Vision Cam EB captures up to , reliably tracking extremely fast motion without losing information between frames. By ignoring static image data, it drastically reduces data volume, lowering computing and memory requirements. imago visioncam 2021
: New units are available through retailers like DigiKey for approximately $3,600 . or more compact XS models? Vision Cam AI: Smart Deep Learning Camera - IMAGO
The 2021 generation of VisionCam devices focused heavily on bringing AI directly to the edge, increasing processing speed, and simplifying the training process.
| Parameter | Imago VisionCam 2021 | Flatbed Scanner | Consumer Mirrorless Camera | |-----------|----------------------|----------------|-----------------------------| | Max Speed | 2 pages/sec | 0.1 pages/sec | 0.5 pages/sec (with tethering) | | Glare Control | Cross-polarized LEDs | N/A (lid required) | External polarizers only | | Bound Material | Yes (curvature correction) | No (requires cutting) | No (manual correction needed) | | Color Depth | 16-bit/channel | 24-bit (often interpolated) | 14-bit (typical) |
Most systems can be trained and ready for full-scale inspection within minutes. Key Technical Specifications The hardware inside the Vision Cam AI.go was built for the rigors of 24/7 industrial use: : Features digital inputs and outputs (Opto I/Os),
The Vision Cam AI.go bypassed complex programming with a simple, :
Native support for IMAGO ViewIT Framework and Halcon Embedded Industrial Applications
: Used in industries such as food and beverage, pharmaceuticals, and packaging for real-time object recognition.
, a smart camera that brought Deep Learning directly to the factory floor without the complexity. What Makes the 2021 VisionCam AI.go Different? The core innovation of the Vision Cam AI.go Go to product viewer dialog for this item. The Vision Cam EB captures up to ,
: Learns to differentiate between "good" and "bad" parts using only about 30 sample images.
: The device is built for industrial environments with a compact housing, C-mount lens compatibility, and standard GigE connectivity. Technical Specifications (2021 Models) The following specifications are typical for the VisionCam AI.go and related 2021 models like the VisionCam XM Specification 5 MP CMOS (2560 x 1936 pixels) with Global Shutter Frame Rate Up to 65 fps at full resolution ARM-based CPU with integrated AI accelerator (Edge TPU) Interfaces 1000 Mbit/s Ethernet, 2x Digital Inputs, 4x Digital Outputs microSD Card (≥ 32 GB) Operating System Debian-based Linux In addition to the VisionCam EB
In the rapidly evolving world of imaging technology, the Imago VisionCam 2021 stands out as a beacon of innovation, offering unparalleled capabilities that are transforming the way we capture, process, and interact with visual data. This cutting-edge camera system, part of the Imago product line, has been making waves in various industries, from scientific research and medical imaging to industrial inspection and beyond. With its advanced features, exceptional image quality, and user-friendly interface, the Imago VisionCam 2021 is poised to revolutionize the imaging landscape.
The isn't just a piece of industrial hardware; it represents a turning point where machines truly began to "see" and understand the chaos of the factory floor through integrated artificial intelligence. The Genesis of a Digital Eye
The AI.go uses an for "no-code" setup. Users simply teach the camera by showing it a set of sample images to classify objects into two to five classes . The camera handles the rest automatically, all without the need for a GPU computer or cloud connection .