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What is FSWireNet?

The FSWireNet Cabling Management Software System provides a solution designed to drastically cut down the time and costs related to patch cord documentation management, with potential savings of up to 60%. By incorporating pre-labeled FS patch cords and a Bluetooth-enabled handheld scanner, network engineers can efficiently track and manage cable placements and tracing with high accuracy. Users benefit from the ability to scan for information about both copper patch cords and fiber pre-labeled cables, while unlabeled cables can be systematically organized using FS labels and printers. To take advantage of the WireNet system, one needs to acquire pre-labeled cables, printers, or barcodes as necessary. The software enables users to capture, validate, search for, and match cable connections through various devices including PDAs, Android, and iOS. A simple click on the search results grants users access to in-depth information regarding cable connections. The system also makes it easy to locate cable positions through automated scanning, allowing users to monitor the connection status of all cables and devices seamlessly. Additionally, users have the flexibility to adjust the three key components of region, area, and module by adding, removing, or updating as required. This all-encompassing strategy not only simplifies cabling management but also significantly boosts operational efficiency across network infrastructure, leading to a more streamlined workflow that can adapt to evolving needs.

What is Deepen?

Deepen AI offers state-of-the-art solutions for labeling and calibrating multi-sensor data, specifically designed to improve the training workflows in computer vision for sectors like autonomous vehicles and robotics. Their comprehensive annotation suite caters to a variety of essential applications, incorporating features such as 2D and 3D bounding boxes, semantic and instance segmentation, polylines, and key points. Utilizing advanced artificial intelligence, the platform includes pre-labeling capabilities that can automatically identify up to 80 frequently utilized classes, enhancing productivity by a factor of seven. Moreover, it features machine learning-supported segmentation that allows users to easily segment objects with just a few clicks, along with accurate object detection and tracking that reduces redundancy and saves valuable time. Additionally, Deepen AI’s calibration suite is compatible with all key sensor types, including LiDAR, cameras, radar, IMUs, and various vehicle sensors. These advanced tools not only enable efficient visualization and inspection of multi-sensor data integrity but also allow for the quick computation of intrinsic and extrinsic calibration parameters in seconds. By optimizing these processes, Deepen AI empowers developers to dedicate more time to innovation while minimizing the burden of manual data management. This ultimately leads to improved outcomes in technology-driven projects across multiple domains.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

FS

Date Founded

2009

Company Location

Germany

Company Website

www.fs.com/products/229069.html

Company Facts

Organization Name

Deepen

Date Founded

2017

Company Location

United States

Company Website

www.deepen.ai/

Categories and Features

Categories and Features

Data Labeling

Human-in-the-loop
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
SDK
Supports Audio Files
Task Management
Team Collaboration
Training Data Management

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