Showing posts with label Ubisense. Show all posts
Showing posts with label Ubisense. Show all posts

Friday, December 12, 2014

Contactless Technologies Conference – Lille, France

Ubisense Real-Time Location and Manufacturing industry experts Christian Raux and Hubert Peyre presented at the Contactless Technologies Conference in Lille this week. The event, held on December 9, was entirely dedicated to indoor location technologies.

Ubisense is a global leader in Enterprise Location Intelligence solutions for Manufacturing, Communications and Utilities companies. We enable some of the world’s largest businesses to improve operational effectiveness, significantly increasing their profitability. Christian and Hubert were among the few speakers at the event who were demonstrating the powerful benefits of location intelligence solutions in industrial applications.

Ubisense engineers have over 30 combined years of in-service operation with our flagship product Smart Factory, which is used by top automotive and aerospace companies around the world. Smart Factory is a production-certified system, designed specifically to help manufacturers sustain continuous flow, optimize efficiency and reduce errors in manual assembly processes.


The conference in Lille was a fantastic opportunity for Hubert and Christian to talk to customers, prospects, and other industry personnel, and to demonstrate the limitless possibilities for operational improvement that location intelligence solutions can deliver.

For more information on Ubisense, visit our website at www.ubisense.net.Or to find out about the event, click here:









Thursday, November 20, 2014

Ubisense Smart Factory: Delivering Never Before Possible Visibility for Manufacturers Worldwide

By Adrian Jennings, CTO Americas

This week, Ubisense announced enhancements to its Smart Factory system that will be available early next year.  Admittedly, we’ve been a tad quiet about Smart Factory so I thought I’d formally introduce you to one of the most advanced location intelligence offerings available to manufacturers today.

Ubisense Smart Factory is a production-certified system that helps manufacturers sustain continuous flow, optimize efficiency and reduce errors in manual assembly processes. By accurately identifying and locating process-critical assets, Smart Factory provides real-time operational awareness, adaptive control and data-driven insights.

Using a sophisticated system that combines advanced hardware (tags and sensors) with software, Ubisense Smart Factory can reveal an entirely new level of visibility to help manufacturers gain efficiencies at a level never before possible. Think massive improvements in quality, productivity, and operational control and costs – all which help manufacturers more effectively manage mass product customization, which is where our world is headed.

For instance, in 2012, car buyers in Europe had 190 different car model choices. In 2019, the number will increase to an estimated 230 different models[1]. Producing that level of variation requires a substantial number of different parts and processes.  How can manufacturers possibly maintain quality by delivering on the demand for customization and choice? Ubisense Smart Factory.


Want to learn more about Smart Factory? Click here to access a video showcasing one example of how Ubisense helped BMW: http://ubisense.net/en/resources/videos.html.




[1] PwC Autofacts 2014 Q2 Data Release

Friday, October 24, 2014

Don’t Get Lost in the Hype

By Adrian Jennings, CTO Americas

Yesterday, I hosted a webinar, Visibility in Manufacturing: The Path to Industry 4.0. To a handful of manufacturers, the coming age of cyber-physical systems is the inevitable next step. For most, however, these concepts are decades away from mass adoption. I advise you not to worry.


Don’t get lost in the hype.


Instead, focus on mastering Industry 3.0 concepts, more specifically - automation, to gain greater visibility and control over your manufacturing operations in the nearer term. Tackling visibility from process to product to department and eventually throughout your entire organization, will feed into and support your ultimate path to Industry 4.0.

Listen, I meet with manufacturers often and I am consistently asked how they compare to others in the industry. So during the webinar, we asked attendees a few questions about the state of their manufacturing operations. Below is the Q&A we conducted.


How close are you to adopting Industry 4.0?
Doing it now 36%
Plan to start in 2015 21%
It's in our five year plan 21%
We haven't even thought about it 21%


Do you spend at least an hour a day searching for assets or products?
Yes 79%
No 21%
How many variations of a product do you build on a single line?
One 0%
Tens 38%
Hundreds 31%
Thousands 31%
What is the main cause of manual errors in your plant?
People 60%
Process 40%

What percentage of wireless tools do you have in your plant?
0-10% 46%
11-20% 31%
21-50% 23%
51% and up 0%

Interestingly enough, the results collected during this webinar are in line with the survey we conducted over the summer that reflects answers from more than 250 manufacturers. So what does this tell us? Many things really, but fundamentally – manufacturers need more visibility so they can improve productivity, efficiency, and their bottom line.

How can manufacturers gain more visibility? During the webinar, I outlined a few steps to consider:

Be Selfish – Start small and local. Pick a pain point and tackle it. Prove to your organization and yourself that the technology you choose works.

Be Forward Thinking – Understand your next step and ultimate goal and invest in the right infrastructure from the outset.

Be Cooperative – Share your success and work with other people and departments. There are significant benefits when the entire organization invests in technology that contributes to greater visibility and control.

Be Supportive – Guide other plants through the process to help the organization prepare for the final step – Industry 4.0.

If you’d like to learn more, you can access the webinar on-demand at http://bit.ly/ZJFbwh. Of course, if you have any questions please contact me at Adrian.Jennings@ubisense.net.

Thursday, October 16, 2014

How Do Manufacturers Gauge Performance or Use Real-Time Information?

The 2014 Smart Manufacturing Technologies Survey was designed to collect feedback on how manufacturers use real-time intelligence and to gauge performance indicators such as unscheduled downtime, productivity, and quality issues. The findings from this survey provided Ubisense with a snapshot of the state of the manufacturing industry and clarity into current market needs. This insight helps Ubisense optimize its Smart Factory solution which enables manufacturers to turn data into knowledge and dramatically increase the visibility of their products, movements, and locations. 

Download this Free White Paper to Find Out





Monday, September 29, 2014

Ubisense Germany Celebrates 10th Anniversary

To celebrate the 10th anniversary of Ubisense Germany, the Ubisense team met in Bendorf to partake in some team-building activities (geocaching) and to enjoy a celebratory barbecue. 











Thursday, September 18, 2014

The Ubisense Team -- Denver, CO

All North American Ubisense employees gathered in Denver, CO for a collaborative and educational 3-day team meeting. 


























Friday, May 30, 2014

FME World Tour Recap: Using Data to Connect, Transform, and Automate Applications

By Edson Enohi

FME World Tour is an event happening around the world in more than 50 cities from April through May bringing the most recent information about data connecting applications, transforming, and automating. This year, for the first time as part of this FME World Tour, FME partner Geoplan (Ubisense), together with FME creator Safe Software, organized the event in Japan. Around 100 attendees participated at the event held in Tokyo and Nagoya.

In the first half-session of the event, top academic researchers from Tokyo university (Kato professor), Nagoya university (Kawaguchi professor), and OpenStreet Foundation Japan (Furuhashi leader) were invited as keynote speakers to talk about their recent works related to OpenData. In the second half-session, FME use cases were presented by the end customer (Pragmatica company, Iijima-san) and FME products were introduced by Geoplan and Safe Software to the audience.

Conference opening by Takushi Oda (master of ceremonies)

The Kato professor, a specialist in natural disaster studies for big cities, pointed out the preparation needs in Japan for disaster prevention and the lessons learned from the past earthquakes. The studies of the cities’ damages were explained depending on the intensity of earthquake and illustrated by several thematics on the maps. Opendata is providing great contributions, visualizing and sharing the data to better understand the local area, identify new issues, and locate houses of elderly people, which might help to save more lives during critical situations.

On the crisis management, the following three points become important: self-help, mutual assistance, and public body assistances. The professor emphasized the importance of keeping sustainability of these points.
The Kawaguchi professor, a specialist in location services, information pointed out cases of using collected big data of people moving around Nagoya station area. The data were analyzed by different times of the day, combining the location data inside the station and the outside data. Depending on the day and time, different services might be offered, and big data analytics provide good information for that.

The Furuhashi leader from OpenStreetMap Foundation Japan pointed out the increase of people interested in OpenStreetMap, made the audience learn the word “CCBY,” which means free to copy, print, and reuse. Displaying “CCBY’ is the only requirement to use OpenStreetmap. The Haiti earthquake was illustrated as a case of the OpenstreetMap community helping to create maps for Haiti in a short time, supporting the UN rescuers’ logistics during the disaster.

FME helps to move data from hundreds of different formats enabling use and sharing. Iijima-san from Pragmatica explained cases of transforming data by reprojecting, aggregating, summarizing, extracting coordinates, translating data, extracting, transforming to raster, etc.


FME Introduction by Edson Enohi
The new FME 2014 is supporting new formats for data reading and writing from Amazon Cloud Services, Google Cloud services, Revit (3D/BIM), etc. Among these formats, Google Maps Engine (GME) formats were highlighted, and cities like San Jose and Edmonton are loading several datasets into Google Map Gallery and sharing it with the public for better services. As an example, search Google for “Edmonton map gallery” to find around 80 datasets street project constructions, soccer fields, tree species, etc. Vancouver and San Francisco are also proactively using FME to open their data from several input sources into their web sites.

The 3D/BIM session also attracted the attention of the audience, with Kevin from Safe Software highlighting cases of using cityGML, IFC, Sketchup, and Revit format . For example, from complex BIM data, visualize it on the FME inspector, routing the data per floor, extracting spaces, or volumes from data.

In summary, Opendata, Big data, data analytics, cloud, and 3D/BIM are hot topics from the Geospatial market. New business opportunities are just starting from these segments, and the audience was eager to get the latest information from the event.

I am already looking forward for the next year FME World Tour!

Tuesday, May 27, 2014

Leveraging Location Data to Uncover the Hidden Factory

Written By: Darcie Cousins, Technical Sales Consultant, UK

By consuming location data in real-time and transforming it into visible, actionable information, Ubisense solutions reveal the ‘hidden factory’ and empower managers and executives to improve production processes, improve product quality, and automate key business processes to make their operations leaner and more efficient. 

What does that actually mean? Well, here is one analogy that might help, and it’s all about location.

Twenty years ago, if you wanted to get from Point A to Point B, you probably pulled out a paper map of the region you were traveling in. You may have had to take some time to locate your start and end points if you weren’t already familiar with where things were. Then you would assess your various route options and plan the best possible route according to your priorities – fastest, shortest, most scenic, etc.

It was time consuming and somewhat risky. Your map probably didn't show road construction and if it was out of date your planned route may not have been the most efficient – newer, larger roads might have been built that would have been a better option had you known about them. If it was a long journey, the map may have had some service stations marked but for the most part finding places to stop or eat along the way was all part of the "mystery" and "adventure" of the fabled road trip.

Once you set off, you were never sure what was just around the corner. How many times did you sit for hours in bumper to bumper traffic because of an accident or road construction? How many greasy diners did you eat at, not knowing your favorite healthy restaurant franchise was just one mile away? Did you ever really know what ETA to give your anxious relatives waiting for you? Have you ever spent a nervous hour driving through the desert hoping to find a service station with the fuel gauge dropping lower and lower? I have.

Kids today have no idea what this was like – it is the 21st century equivalent of the "walked ten miles to school with no shoes" stories our grandparents told us. This is because today we have smart phones, and these phones are running location aware applications.

Have you ever thought about how many of the apps we use daily are using location data to make our lives better and easier? My phone lists dozens, including apps for fitness, bird watching, shopping, weather, public transportation, parking, and travel. Now when I want to take a road trip I load a crowd sourced navigation app. It offers me multiple route options to choose from and displays trip distance, time, and current traffic conditions along the way. It lets me send my ETA to a friend, and even provides a link for them to monitor my trip progress in real time. Other users enter information about traffic conditions, accidents, or hazards in the road in real time, and the app will offer me a new route to help avoid them. 

All of this functionality makes travel much more efficient and pleasant than it used to be. It eliminates a lot of wasted time, effort, and energy by giving me all the information I need to make the right decisions according to my goals and preferences – and all in real time.

Ubisense Real Time Location Intelligence (RTLI) solutions are designed to bring the time and money saving features of these applications we all take for granted in our personal lives and apply them to business environments. Using the Smart Factory product set, manufacturers are able to answer important questions about the current state of production using information provided in real time. 

The system consumes location data that can come from various sources – Ubisense sensors and tags, handheld barcode readers, passive RFID tags and readers, PLCs, and so on – and transforms it into business intelligence. Businesses who have invested in this technology are now able to understand the secrets that were previously hidden in the factory:
  • Where is Product123 right now?  
  • How far through the production process is Product123? (Is it running on time?)
  • Are there any known quality issues on Product123? (Is it in rework?)
  • When is Product123 likely to be finished? (Is it at risk of exceeding the target production time?)
  • What tools have been used to assemble Product123? (Does this match the bill of materials for that product?)
  • What is the average time that products are spending in process step 4? (Is this in line with our performance goals?)
  • Does process step 4 take more time for some types of products than others? (Let’s look into why.)

Smart Factory includes a powerful rules and events engine that is able to monitor for specific situations and proactively alert production leaders to events they are interested in:
  • The Ageing WIP KPI is in danger of being exceeded for product123. (It needs to be prioritized.)
  • Workspace 4 can only accommodate three vehicles, but four have been parked there. (This carries an increased risk of paint damage.)
  • A vehicle with an unresolved electrical fault just entered the Pass to Sales area. (It must be repaired it before it leaves the site.)
  • A part that is vulnerable to corrosion has been in a workspace longer than it should be. (It must be protected to prevent scrap.)
  • Part123 just deviated from its defined production workflow. (It needs to get back on track.)

Smart Factory can add value to production processes on its own, or act as an ‘enabling’ technology augmenting existing Enterprise Resource Planning (ERP), Manufacturing Execution Systems (MES), or Manufacturing Operations Management (MOM) systems. It provides the location intelligence that takes manufacturers out of the age of paper maps and brings them into the age of smart applications. Just as technology as made travel safer and more efficient, Ubisense RTLI solutions make navigating your business more efficient and cost-effective. 






Tuesday, April 15, 2014

Ubisense Smart Factory installed at Daimler

Since the beginning of July 2013, Ubisense Smart Factory is in production on the Mercedes S-class assembly line in Sindelfingen, Germany. In a pilot phase, the system was tested and integrated with the DC tools in two line segments. The remaining stations were then equipped and all the DC tools were integrated in the subsequent step, which went live in July.

Smart Factory is used in the Sindelfingen plant to identify vehicles and assets on the final assembly line and to control tools based on their position. Linked to the vehicle ID, the real-time tracking data is also transferred to other systems in the production facility, so machine operators always know which particular vehicle is arriving at a station—even on those line segments where conventional vehicle sensing systems cannot be used. Cumbersome, manual scanning processes are thus eliminated, vehicles and tools are matched automatically and the correct tool programs are loaded at the respective work stations. As a result, unproductive assembly time is reduced significantly and errors that can occur with manual processes are avoided.

Smart Factory is integrated seamlessly with the car manufacturer’s PLUS manufacturing execution system and allows for a direct control of the DC tools via the Atlas Copco Open Protocol. In the full roll-out, devices and tools provided by other vendors are also controlled via the real-time location data. The system was implemented by Ubisense together with Atlas Copco, who have a strategic partnership since 2009.

Tuesday, November 26, 2013

5 Steps to an Irrefutable ROI Report



Ubisense is keenly aware that time is valuable and each day that an organization operates without a tracking system means thousands of dollars lost due to operational inefficiencies. You need hard numbers to justify the spend internally but you don’t have time to tackle the research in addition to your day job. We get it and we can help you. We’ve developed a five step process that enables us to gather the information we need to deliver an irrefutable ROI report so you can get what you need.  

Here’s our five-step process:

Step 1: Understand the process or processes that require improvement. Any existing data, such as value stream maps or efficiency studies, are reviewed if available.

Step 2: Ubisense visits your site to review the process(es) that require improvement in detail. The best starting point for this review is a physical walkthrough of the process (es) typically with the person who oversees the department. During this walkthrough, a critical Q&A session occurs to understand every aspect of the process(es), including all the ways things don’t go according to plan.

Step 3: On the same day, we regroup in a conference room and walk through the process(es) again, referring to a facility map, taking copious notes on process flow and gathering as many metrics as are available.

Step 4: The final stage of the site visit is to understand the financial terms for how operational efficiency is measured, and whether any specific company goals are being pursued. From this on-site visit, we learn about the great variability and customization of each individual product that makes the customer’s manufacturing process highly complex and difficult to manage.

Step 5: Ubisense delivers an irrefutable ROI report that includes the hard numbers and timeframe specific to your business operations, and you have the proof you need to gain purchasing approval



Wednesday, July 03, 2013

New Downtown Denver office!


Have you seen our new office yet? If not, it's worth stopping by for a cup of coffee.

Our new 10,000 sq ft office is located in the heart of downtown Denver. The office environment is casual, colorful, and energizing- perfect for our growing company! 

We now have 3 conference rooms with 84-inch Plasma TVs and whiteboard walls. This is our largest conference room, which seats over 20 people. 
A view of the Rockies Stadium is just one of the many benefits of this fully stocked and functioning kitchen.
Our new waiting area
Our front door proudly displays our logo.

Fun metallic bubbles create a barrier between our telework station and our dining area
Our 20 ft orange plane
Our walls are covered with fun, colorful graphics.

Thursday, February 23, 2012

Snapshot or movie? Exploring the differences between RFID and RTLS

The terms Radio Frequency Identification (RFID) and Real-Time Location System (RTLS) can cause confusion since they are often used interchangeably. In fact, they mean something very different and RFID and RTLS solutions are used in very different ways.

RFID is the term used to describe the wireless retrieval of an identification code from an electronic tag using a radio signal emitted from the tag. These systems were developed to solve some of the shortcomings of barcodes, which can only be read at very short range, are easily damaged and become unreadable - if you can’t see the barcode you can’t read it. RFID systems solve this problem by using a radio signal rather than an optical scanner, and that radio signal can be read over longer ranges, even when no line-of sight exists between the tag and the reader. RFID tags come in two varieties: passive and active. Passive tags use no battery, and instead derive power from the radio signal emitted by a reader. These tags can truly be thought of as “next generation barcodes.” By contrast, active tags are powered by batteries, and as a result can transmit signals much further (10s and even more than hundred meters). This type of tag has advantages in certain situations but the battery makes them more expensive both from a manufacturing and maintenance standpoint.

Degrees of location

Real-Time Location Systems (RTLS) not only retrieve the ID of an electronic tag but also pinpoint its location in real-time. In order to do this, the signal from the tag is received at multiple sensor locations which use methods such as triangulation or multilateration to calculate the tag position. This seems to be very different from the definition of an RFID system. So why is there confusion? The confusion comes from defining exactly what is meant by “location information” and the following examples helps to illustrate the point.

Area location

RFID systems only provide
 limited location information
A single RFID reader is placed at the center of a warehouse,and items are identified using long range RFID tags. Since the reader cannot physically hear tags outside the warehouse, it makes a list of all the tags that it can hear, and labels them as “in the warehouse.” In this case “in the warehouse” is location information derived from an RFID system comprising a single reader and active tags.

Proximity location

Two RFID readers are placed at either end of a warehouse populated as above with active tags. Both readers hear all tags, but they are connected via a network to a software application which compares the signal strength received. For a given tag, this application determines that the northern reader is receiving far more signal than the southern reader, and determines that the tag is therefore in the northern part of the warehouse. Again “in the northern part of the warehouse” is location information derived from a RFID system comprising multiple readers and active tags.

Choke point location

A single RFID reader is placed over a doorway, under which items pass which are identified using passive tags. The reader can only detect tags that are within 1,5 meters (due to their short range), confirming that any tag that it does hear must be in the vicinity of the doorway. Each tag ID is recorded as “at the doorway” along with the time at which it was detected. In this case “at the doorway” is location information derived from a RFID system comprising a single reader and passive tags.

Real-time location

A network of RTLS sensors is distributed throughout a building, and items in the building are identified using active tags. Anywhere in the building, multiple sensors can receive the signal from a given tag and measure either its signal strength, its time of arrival or its angle of arrival (or sometimes more than one of these). This information is passed via a network to an application that calculates the tags coordinates in the building. In this case “coordinates in the building” is location information derived from a network of RTLS sensors and active tags.

RTLS allows users to identify products at any stage
 of the assembly line and to control processes
based on the relative location of
products, tools, and mobile devices.
A better definition

These examples make both the reason for the confusion and the solution clear. Any system can be thought of as providing “location information” - even a barcode scanner. But a better definition of the term “RTLS” can immediately distinguish these systems from RFID systems: A Real-Time Location System is any system using a network of sensors to determine the coordinates of a tag in real-time, anywhere within an instrumented area. Using this definition we immediately understand that “in the warehouse” and “at the door just a minute ago” do not fall under the definition of RTLS. Rather “on shelf B7 on aisle 9 of the warehouse” and “entering through the door and turning towards aisle 3” are the hallmarks of location information delivered by an RTLS solution.This definition also makes no mention of radio frequency on purpose. RFID very clearly means radio frequency ID, without exception.


One further differentiator is that RTLS tags and sensors, whereas predominantly RF, can also use other technologies such as infrared and ultrasound. A good way to think about the difference is to think of RFID as a fixed still camera, and RTLS as a panning video camera. The fixed still camera can provide information about the scene within its field of view at the time a photo is taken. By contrast, a video camera that can pan and zoom provides continuous, real-time scene information over the entire area. This is the fundamental difference between RFID and RTLS: snapshot vs. movie. A series of snapshots at strategic times and locations can help build a picture of what was going on in the past, but only a video camera with a live feed can give real-time information about what’s going on, all the time.  That’s the power of RTLS.