1. Ecosystem
  2. Date
  3. 23. February 2024

Day: February 23, 2024

Posted on by Keshav Kumar

Flowcate

Flowcate is a company passionate about geoinformatics, and positioning systems, and offers location-based software as a service that transforms location data into added value for users.

Solution – Asset Tracking with unified locating platform

The DeepHub® by Flowcate, is a locating-middleware that enables a seamless tracking of all moving things in intralogistics, like forklifts, palettes, equipment, and humans. It allows for an easy integration of all indoor positioning technologies –  from all vendors – via a lightweight API. The DeepHub is compliant with the open locating standard omlox. Cumulocity consumes location-data and telemetry data via the DeepHub and visualizes real-time movements.

Challenges

  • Easy access to location data indoors
  • Integration of broad range of locating technologies and vendors.
  • Vendor lock in with vertically integrated technology vendors
  • Complex integration and not standardized data formats
  • Seamless monitoring of equipment and optimization enabled by location data

Solution

  • Cumulocity connected DeepHub via omlox-compliant API
  • omlox & DeepHub offers homogenous data for business analytics
  • Holistic overview of asset movements, energy consumption and much more
  • Single omlox API to consume location data fused with telemetry data

Benefits

  • No vendor dependency
  • Saving of integration costs and resources
  • Interoperability and flexibility among indoor locating hardware & software solutions
  • Single, lightweight and standardized API Lower total cost of ownership

Contact

Contact Name: Dr. Matthias Jöst

Email: Matthias.Joest@flowcate.com

Website: Flowcate

Solution Assets

Boon Logic

Posted on by Keshav Kumar

Boon Logic is a pioneer in the field of artificial intelligence, driven by a mission to enhance human intelligence through cutting-edge technology. Their patented nano-clustering technology has revolutionized unsupervised machine learning, simplifying and accelerating AI development and deployment, particularly in the domains of visual inspection and preventive maintenance.

Solution – Amber- AI Anomaly Detection with nano clustering technology

Amber is Boon Logic’s AI-based predictive maintenance solution based on unsupervised machine learning. Amber is self-configuring, runs on commodity servers or in the cloud and trains a unique, high-dimensional model for each asset providing unparalleled predictive accuracy. Amber has become the first AI-based predictive maintenance tool that can easily be used by plant staff to create accurate and reliable models for predicting equipment failure and identifying its causes. Amber doesn’t require knowledge of machine learning. Instead, production managers and reliability technicians simply connect Amber to each asset’s sensor telemetry and allow Amber to take it from there and build a unique predictive model for that asset.

Challenges

  • AI-based solutions generally require high levels of machine-learning expertise to implement
  • The increasing volume of equipment data requires large cloud-computing architectures
  • To address the sheer number of assets in an environment, one has two options: creating generic, “universal” models or reducing the number of assets they will monitor.
  • The complexity and volume of data, along with the computing power needed to process, results in long data engineering and model training cycles

Solution

  • Amber is a machine learning tool purpose-built for reliability and process engineers, who lack AI expertise but are experts in operations
  • Amber is extremely efficient, allowing large volumes of telemetry to be consumed and monitored with minimal compute needed
  • Amber factors in the unique nature of each individual asset, creating distinct models of each of them for optimized accuracy and sensitivity
  • Amber reduces the complexity and time to deploy asset-specific models for your operational environment using a simple 3-step configuration process

Benefits

  • Amber democratizes machine learning for companies lacking data science expertise
  • Amber’s computational efficiency reduces cloud costs commonly associated with the deployment of AI workloads
  • As each asset has its own fingerprint/model tailored to its unique operating environment, Amber delivers better accuracy and sensitivity for earlier detection while greatly reducing false positives.
  • By reducing the complexity and time to deploy, Amber allows more models to be built to increase the asset coverage of predictive maintenance.

Contact:

Contact Name: Tom Goris

Email id: tom@boonlogic.com

website: Boon Logic

Solution Assets