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What is VergeSense?

Let data guide your decision-making processes effectively. The VergeSense analytics platform provides workplace leaders with the tools necessary to assess every aspect of their office settings comprehensively. By utilizing this platform, you can make informed strategic decisions that not only improve the employee experience but also significantly reduce real estate costs. This cutting-edge workplace analytics solution employs sophisticated deep-learning sensors to gather data. VergeSense's analytics monitor foot traffic across various office areas, offering valuable insights into building usage, floor occupancy, seating layouts, meeting rooms, and even specific desk utilization. The occupancy statistics from the previous year are now outdated in light of evolving workplace trends. Equip your office with the essential data to foster an efficient and secure environment for your team. You will gain clarity on critical inquiries such as: How many staff members are coming into the office? What are their visiting patterns and preferred days? Which areas see the most traffic during specific times? Which workstations are active, and which could potentially be freed up for reassignment? By analyzing these behaviors, you can refine your workspace, ultimately enhancing productivity and overall employee satisfaction. With informed insights, you can also anticipate future needs and adapt your office layout accordingly.

What is Deeplearning4j?

DL4J utilizes cutting-edge distributed computing technologies like Apache Spark and Hadoop to significantly improve training speed. When combined with multiple GPUs, it achieves performance levels that rival those of Caffe. Completely open-source and licensed under Apache 2.0, the libraries benefit from active contributions from both the developer community and the Konduit team. Developed in Java, Deeplearning4j can work seamlessly with any language that operates on the JVM, which includes Scala, Clojure, and Kotlin. The underlying computations are performed in C, C++, and CUDA, while Keras serves as the Python API. Eclipse Deeplearning4j is recognized as the first commercial-grade, open-source, distributed deep-learning library specifically designed for Java and Scala applications. By connecting with Hadoop and Apache Spark, DL4J effectively brings artificial intelligence capabilities into the business realm, enabling operations across distributed CPUs and GPUs. Training a deep-learning network requires careful tuning of numerous parameters, and efforts have been made to elucidate these configurations, making Deeplearning4j a flexible DIY tool for developers working with Java, Scala, Clojure, and Kotlin. With its powerful framework, DL4J not only streamlines the deep learning experience but also encourages advancements in machine learning across a wide range of sectors, ultimately paving the way for innovative solutions. This evolution in deep learning technology stands as a testament to the potential applications that can be harnessed in various fields.

Media

Media

Integrations Supported

Apache Spark
Aruba Cloud
Envoy
Eptura
Hadoop
Hubstar Utilization
ICONICS' Intelligent Building Software (IBSS)
Modo
OfficeSpace Software
Robin
Serraview
SharingCloud
Spacewell
Switch Automation
Unremot
ecobook

Integrations Supported

Apache Spark
Aruba Cloud
Envoy
Eptura
Hadoop
Hubstar Utilization
ICONICS' Intelligent Building Software (IBSS)
Modo
OfficeSpace Software
Robin
Serraview
SharingCloud
Spacewell
Switch Automation
Unremot
ecobook

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

VergeSense

Date Founded

2017

Company Location

United States

Company Website

vergesense.com

Company Facts

Organization Name

Deeplearning4j

Date Founded

2019

Company Location

Japan

Company Website

deeplearning4j.org

Categories and Features

People Counting

API
Anonymous Counting
Benchmarking
Car Counting
Conversion Tracking
Data Export
Events Statistics
Heatmaps
Mood/Age/Gender Recognition
Motion Detection
Reporting / Analytics
Retail Counting
Staff Exclusion
WiFi Tracking
Zone / Area Monitoring

Categories and Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

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