Sick Subscription (twelve months) for dStudio, Engineering Tools, Deep Learning, SKU: 1616973

Name: Sick Subscription (twelve months) for dStudio, Engineering Tools, Deep Learning, SKU: 1616973
Brand: SICK
Price: 6281.17 EUR
Availability: InStock

Marke: SICK

Hersteller Artikel-Nr.: 1616973

Produkt-Nr.: P-CJMSMK

Technische Daten

Gewicht: 1 kg

Produktbeschreibung

Description: After taking out a dStudio subscription with a term of twelve months, up to three dStudio users can train on an unlimited number of models and unlock them for commercial use. The training data can be jointly managed and annotated. In addition, neural networks can be trained to support the AI accelerator of some devices, thereby enabling faster decisionmaking. The subscription can be canceled at any time at the end of the term. Otherwise it is automatically renewed after twelve months for an additional twelve months.
Supported products: InspectorP series SIM2x00 Inspector83x Inspector85x SICK AppEngine
Task: Monitoring and controlling Quality Monitoring and controlling Condition Identifying Classifying Identifying Sorting
Technology: Preparation and management of training images. Collaborative and AIsupported annotation of images. Training of artificial neural networks. Processing and analysis of images based on artificial neural networks to solve complex automation tasks.
Task: Train neural networks to classify images and to recognize and localize objects. Annotate and manage the necessary training images.
Provision: Training of neural networks is free for evaluation purposes. Trained neural networks can be used productively without restriction as part of a subscription. The subscription is provided via cloud.sick.com.
Supported image formats: bmp jpg jpeg png SICK AppSpace 3D images (json)
Language: English
Input data: Images that are annotated in dStudio. The images can also be provided with additional metadata, which makes it possible, for example, to use only the relevant part of a larger data domain for training.
Output data: Trained neuronal network which can be used on SICK devices to make a decision.
Neural networks that support the AI accelerator available in some SICK devices.
Documentation: Operating instructions
Supported browsers: Goog