May 02 2009

GPS Insight and Google Earth

I saw a competitor’s [I would never name names -- just that they start with an F and end with a s and they're an Irish company...] blog the other day which stated they recently added support for Google Earth, and that they were “the first telematics solution to use Google Earth mapping.”

We have supported Google Earth since 6/29/2005, nearly FOUR YEARS AGO, and I’m going to point that out.

Additionally, our Google Earth, nearly 4 years old, is LIGHT YEARS beyond any I’ve seen in a competitor’s GPS Tracking product.

The day Google Earth launched, I saw it on the Bloomberg Terminal I was using, downloaded it, saw it could be used to enhance GPS Insight, and immediately wrote some (very primitive) support into our product. This was back in the day when I was still able to code things myself… Now we have some of the best developers I’ve worked with, and they do all the heavy code lifting.

Anyway, I want to point out that this blog has 23 articles (including this one) about Google Earth usage within GPS Insight, dating back to October of 2007, right after I started writing these articles.

Here they are — use the categories on the left to see only articles on the topics which interest you: http://blog.gpsinsight.com/?cat=14

I will spend a little more time detailing the usage of Google Earth within GPS Insight, as it is the cornerstone for “power usage” of the product, and yields tremendous advantages over other mapping.

Here are a few things we do which are beyond the “typical” support of Google Earth:

  • Polygon Landmark compatibility
  • Time Lapse Movie view of history
  • One Click, Secure .kmz links of your fleet and landmarks
  • Drag and drop creation of landmarks from Google Earth search results
  • Tens of Thousands of objects supported at once

I won’t give away our roadmap — for that, the competition needs to view our freely available demos (they do, I get a report…).

By the way, here’s a quick screenshot of Santa Monica, CA — we just returned from there and I was curious how big they are and how many miles/hours we spent there doing installs last week. I’ll detail how we determined that in the next blog article available here.

GPS Insight Scion in Santa Monica last week

Google Earth is a great tool – just don’t trust companies saying they are “the only” provider out there supporting it.

I will say truthfully that GPS Insight was the FIRST to support it (someone try to beat 6/30/05), and has more functionality built around Google Earth than any other competitor, including F|$$!&@!|(s, regardless of what their blog states.

I’ll be celebrating their 4th birthday on 6/29/09 by gladly renewing all our Google Earth Pro licenses, which allow you to do a few extra things like compute area, as shown above.

Rob.


Apr 12 2009

EZ-1000 works in luggage in planes & trunks!

I forgot to turn off an EZ-1000 I had brought on a trip. It was in my overhead luggage (oops).

It still tracked me on the runway (a max speed of 214 until it lost signal), then all the way home while in my trunk.

Run a quick 3D map for Friday:

GPS Insight EZ-1000 on a plane

We took off on time (3:35 flight pushed back at exactly 3:35 & left the runway at 3:40):

GPS Insight EZ-1000 on a plane

Then the unit last reported before losing cell coverage at 214 MPH after turning over the ocean:

GPS Insight EZ-1000 on a plane

I was out of cell range for roughly an hour, and covered 330 miles between Orange County, CA and Phoenix, AZ which means we averaged about 330 MPH:

GPS Insight EZ-1000 on a plane

All of our units except for this one (the EZ-1000) would store that history, but the EZ-1000 is more about where a person is right now (e.g. security guards, police officers) so it does not store data if it loses cell coverage — since we rarely lose cell coverage (except in planes at 33,000 feet…) it’s a non-issue, as you’ll see next.

After landing, it picks right up again, then tracks my vehicle all the way home, even though I had the unit in my suitcase, in my closed metal trunk:

GPS Insight EZ-1000 tracking device works in luggage, in trunk

And on the freeway, it is exactly accurate (but at 2 minute updates) relative to my GPSI-4000 at 10 second updates in the same vehicle (red line=10 second with the GPSI-4000, blue line = 2 minutes with the EZ-1000):

GPS Insight EZ-1000 tracking device works in luggage, in trunk

Here on the highway there are 2 points 4 seconds apart, with the same exact speed (67 MPH):

GPS Insight EZ-1000 tracking device works in luggage, in trunk

The points are 56 feet apart, which seems reasonable for 4 seconds at 67 MPH (technically it should be 393′ but the 1000 takes a couple seconds to transmit vs. the 4000 which is pretty much instant — but close enough– we’re not launching missiles here):

The moral of the story here is that this unit can be used to economically supplement your tracking of freight, high value packages, etc. Just Thursday a customer I visited in El Monte asked if he could use them to track shipments — Given the fact that my trunk is probably thicker metal than the typical trailer, I can say that it should work reasonably well.

Remember these units work for up to 10-15 days in “ping only” mode, and 3 1/2 days at 2 minute updates. Inexpensive external USB-connected batteries work well to extend the life up to a month or two.

This device is very reliable, and easy to use for many security, freight tracking, and occasional tracking needs. Just don’t ask us to sell it to you to track your spouse or kids — we strictly sell for B2B (Business to Business).

Here’s one more picture of the 2 minute EZ-1000 tracking (blue with green movement/speeding dots) vs. “reality” at 10 second updates (red) — it caught me speeding… I wanted to get home in a hurry obviously:

GPS Insight EZ-1000 tracking device works in luggage, in trunk

Thanks,

Rob.


Mar 17 2009

Tracking the 120 mile LAPD Baker to Vegas Relay Race

Los Angeles Police Department puts on a yearly race from LA area to Las Vegas. It’s 120 MILES long, through the desert, at night. 242 teams of 20 runners each participate. That’s 4,840 runners! (running 6 miles each).

It’s called the Baker to Vegas Relay.

A customer of ours, Crown Disposal sponsored one of the teams this year — the San Fernando/South Pasadena/Compton team.

Their head of IT, Jerry Prieto, asked us to loan them a GPS device and an account where they could view the progress of the race, to supplement their elaborate communications already in place to track the race.

We are happy to do so — Crown Disposal has been a GPS Insight customer for years and has given us ideas for many improvements to our product (the Speed Bands report, imported rolloff locations color-coded by age, etc).

Using an infrequently used aspect of our product “Customer Sites,” I was able to put a publicly available website out there for anyone to watch the race progress. It took about 1 minute to do this, and is seen here:

GPS Insight tracks the Baker To Vegas Relay Lead Car

And in Satellite View we see where they ended (at the Las Vegas Hilton):

GPS Insight tracks the Baker To Vegas Relay Lead Car

Anyway, the race commenced Saturday night, and the vehicle should have taken 120 miles to get there.

Here is a track of that vehicle, and since I really don’t know where the race physically began, I traced back from Vegas roughly 120 miles to start my “search.”

Finding the starting point for the Baker to Vegas Race

This screen shot shows I’m not too far off — the light green dots are speeding events (76 MPH max, in this case then slowing down to 6 MPH) prior to stopping at the beginning of the race:

Finding the starting point for the Baker to Vegas Race

The vehicle had driven 113.5 miles that day — we’ll subtract that from the ending mileage for the day to arrive at 120 miles in just a minute.

They leave out at 10:40:57:

Leaving for Vegas for the Baker to Vegas Relay Race

From the time they got to the starting point (on Death Valley Rd., by the way, in the middle of NOWHERE…), it was just about an hour before they started their team race.

Nice terrain to have to run up! — We’re tracking the vehicle which is the lead for the team — they had several vehicles to carry all the 20 runners.

Running uphill on a 120 mile long race (6 miles per runner thankfully)

At least whoever was running at 3:21 AM got to go downhill:

Running downhill to Vegas at 3:30 AM

They arrive at the Hilton (the finish line) at 7:55 AM — 123.4 miles and 21 hours, 15 minutes later. That’s an average of 5.65 Miles Per Hour.

Arriving in Vegas 21 hours later

The car drove a few extra miles doubling back, etc., relative to the racers’ 120 mile trek (although it might be a few more miles, I didn’t measure it myself…).

Anyway, we’re happy to help with this fantastic 25 year old event, and appreciate Crown Disposal’s invitation to help them help LAPD and the world’s “biggest police chase” as they call it.

Rob.


Jan 16 2009

Ski maps are really inaccurate (part 3 of the ski overlay series)

This is the 3rd (and last) in a series on GPS tracking of skiers, and more to the point, the overlaying of ski maps into Google Earth in order to put that data into reference. So after asking someone way better at Photoshop than me to “stretch” that ski trail map of Heavenly Lake Tahoe and make it fit Google Earth, it has become VERY clear that those maps aren’t even close to accurate.

Photoshopping the map & stretching/skewing it to fit, then overlaying the sides to be accurate, it’s still obvious that there is no real scale built into these maps. The Gondola is nowhere near reality:

GPS Insight Heavenly overlay

So we aborted the mission of overlaying this map in favor of simply recreating the runs as Google Earth “paths.”

Here is what it looks like once you add a number of “paths” and “placemarks” in Google Earth, using the map as a reference, and the satellite photo with the missing trees as evidence of where the ski runs actually are:

GPS Insight ski runs in Google Earth

The paths are color-coded based on type (typical green/blue/black difficulty based on the map) and the Gondola is in red.

If you were using GPS Insight to say, track your Snowcats (which are used to groom the runs regularly), you would be able to run reports on which runs were groomed on which days, for how many hours, etc. This is actually something we’re starting to see some interest in from some ski resorts which is part of the motivation for this exercise (if I had thought about it in advance I could have written off the trip!).

You can see how accurate this is if you take a little time to properly map the trails — We show activity skiing right along Orion, Skyline Trail, and Ridge Run (as well as us taking the lift up ABOVE Ellies — I didn’t take my 8 year old snowboarder on this black (he probably would have done better than me, actually).

Ski Runs in GPS Insight

Using a combination of a ski trail map and Google Earth with recent imagery, it is easy to see which runs particular GPS data recorded activtity on.

We’re going skiing tomorrow in Pinetop AZ at “Sunrise” park (www.sunriseskipark.com) — here’s their much more straightforward trail map.Sunrise trail map

I’m done overlaying them, I think everyone gets the point now (on to more vehicle based GPS tracking topics next!)

Thanks,

Rob.


Jan 05 2009

More GPS snowboard tracking

I realized I didn’t have much data from the prior 2 days’ skiing so I put the tracking device in 20 minute mode and you can see we have more to go on now.

GPS Insight tracks 8 year old snowboarders too

Here you can start to see the (thawed versions of) trails and where the points themselves lie:

GPS Insight tracks 8 year old snowboarders too

Next I will begin to merge the Google Earth version of the mountain with the Heavenly Ski map:

Google Earth ski map overlay vs. GPS Insight data

Since the map itself is drawn on a vertical angle, I will need to reshape it, something I need to do anyway as we’ve started working on a project of this sort for a customer. This is a relatively simple thing to do, provided you know how to do it. I don’t, so I’ve got some Photoshop reading to do…

When I figure it out, I’ll finish this overlay & make it plus the data available for you to look at in Google Earth.

Rob.


Jan 02 2009

Tracking valuable packages (or my Son on the ski slopes)

GPS Insight is working on a new line of package tracking devices. They’re geared toward placement in valuable shipments – plasma TV’s, cigarettes, bank bags, etc. The beauty of these units is that they don’t use only GPS signals to determine their location — they can use the E-911 cell phone system to VERY ACCURATELY determine their location.

For instance, I put one in the trunk of my car, drove into our covered concrete parking structure at the office, and this device knew where I was within 10 feet.

I put one in my oldest son’s (8) pocket (they’re very small, only a 1″ x 1″ x 2″) yesterday when we went skiing in Lake Tahoe on our yearly vacation. These units are typically used on a “every 4 hours or whenever I ask for a location” basis. Jack is a good snowboarder, but why not stick a device on him in case I lose him somewhere, right…?

GPSI Jack future salesguy

[BY THE WAY, we do >> NOT << sell GPS tracking devices to people for tracking their kids, spouses, lovers, whatever -- we are strictly B2B (Business to Business)]

So Jack didn’t fall down the side of some slope and get stuck where I coudn’t find him, so the only “locate” we got on him were the “scheduled” 4:30 (MST), 3:30 PM local time ones, which were both close to the top of the Gondola (which you need to be on by 4 PM to get back down). Here are the two, and you can see they’re within .35 miles of each other (yesterday we were heading back a little earlier than the previous day since he was tired out from some longer runs):Tracking Jack with GPS Insight’s package tracking unit

Here’s a picture of the mountain & where the Gondola goes from the base to the mountain:

Heavenly Gondola

So how can I really tell where those points are (or worse case scenario, where my lost kid is if necessary)?

Here is a map of Lake Tahoe’s “Heavenly” resort:

GPS Insight Heavenly overlay

I will put this map into a digital overlay in Google Earth so that we can see more easily where EXACTLY these GPS device locates were. This allows us to put “reality” on a map relative to “usefulness” — e.g. a ski trail map is much easier to use to locate someone than a map or satellite photo of a mountain.

I’ve never created a “vertical” overlay like this, so I think I’ll need to Photoshop this graphic a bit in order to stretch it to match the mountain.

This is a big enough exercise that it will be another blog article. I’ll post the link here when it’s done. I’m on vacation and the Gondola is closed due to wind, so I wrote this one article, but the next one will have to wait until I’m back to work most likely. I’ve got 3 more days in Tahoe, so I’m going to enjoy it and stop typing now.

Happy New Year !

Rob.

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Apr 08 2008

New California Cell Phone Laws — stop calling your drivers & use GPSI to see where they are

The new California cell phone law goes into effect 7/1/08. Now drivers can be cited for using their cell phones while driving, unless they use a hands free device.

See the CA Cell Phone Law document here.

While GPS Insight users DO use cell phone communication to send and receive group-wide or individual text messages, and to annotate their stops (e.g. they’re stopped when sending them…), overall, the amount of communication while they are driving is lessened significnatly.

A dispatch person may just choose a single group (or all vehicles) and instantly map them with a couple clicks:

Show real time Fleet whereabouts

Now if I want to see where a particular vehicle is (or which vehicle is closest to a particular area) I can just double click on that vehicle:

Where’s my vehicle (without calling the driver)

Additionally, we now have given our customers the ability to use cell phone text messages to find the closest 10 vehicles to another vehicle or location (within 10 miles, which is configurable). For instance, if you want to know the 10 closest vehicles to “TC1-CREW” (above), this customer can send a text message of “gps tc1-crew close” and receive a text message of the closest vehicles, how far they are, which direction, and if they are moving (and how fast or for how long have they been stopped).

Additionally the customer can just send “gps TC1-CREW” and get a text message of where that vehicle is. This is even useful if you don’t feel like walking to a computer to find out. A quick SMS text message is returned within seconds (almost instantly on AT&T, maybe 10 seconds on Verizon, our two carriers of choice). It tells you the address (or landmark), and vehicle status (stopped 10 minutes, idle stop 20 minutes, 72 mph NW, etc.). You can even abbreviate the truck name, or give a partial truck name which will return all vehicles matching (e.g. TC will return both TC1 and TC2). Here is the “console” record of some sample activity. Bear in mind the “Message” is coming from, and being sent back to the driver’s/supervisor’s cell phone:

Text Messages with GPS Insight

(We break it up into multiple text messages for easy reading when necessary)

Also bear in mind if you have a higher end phone, we can help you easily display all your vehicles on a map on your cell phone.

phone-based maps on GPS Insight

Zooming down:

Zooming down on Josh

This is very useful to keep track of your fleet, but has a nice side benefit of helping your drivers to avoid breaking the new California (and other states’) cell phone laws while driving.

Rob.

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Apr 07 2008

Police chase & “Horrific Crash” — How GPS Insight helped an ambulance company react

Today a customer of ours in Southern California near our Orange office let us know that they used our product to both help 7 of their ambulances get to the scene of a California police chase that ended in a “horrific crash.” They also let us know they were able to use GPS Insight in order to assess their responsiveness to this large scale emergency.

Here is a video of the news story, where a drunk woman in a stolen SUV tried to escape police and crashed into 5 vehicles going the wrong way down the street in Tustin, California:

http://www.cbs2.com/video/?id=63039@kcbs.dayport.com

Ambulance tracked by GPS Insight arrives at the scene of a horrific crash

Using GPS Insight, their dispatch personnel can view their vehicle locations in real time (1 minute map updates and 2 minute vehicle updates). That screen allows them to also visualize their custom-built color-coded zones, click for a zoomed in detail of a vehicle or speed/stopped time type details. This particular screen shot is from a different company since the ambulance company’s regions and vehicles require understandable privacy. However it gives a good example of what a mid-sized fleet looks like in the GPS Insight dispatch map view.

GPS Insight fleet view

When the call comes in for the emergency, they probably only had the cross streets, Warner Avenue and Red Hill Ave, in Tustin (technically close to Tustin in Santa Ana). By typing that into the GPS Insight “Find Address” box and zooming/marking it, the location can be instantly found:

Instantly find an address and route a vehicle using GPS Insight’s Find Address Box

This brings up the following map view, from which turn-by-turn directions to (or from) that location to any vehicle or other location/landmark can be brought up just by clicking on the “directions” links:

Get quick directions to and from a location

Now using the mouse scroll wheel, the zoom level allows you to see the two closest ambulances, 76 and 79, as well as their recent history as a “trail.” They are yellow which indicates they’re turned off but haven’t been stopped more than an hour (then they would be red, and this is all configurable by the customer with GPS Insight). By clicking on them we see more information. Ambulance#76 has been stopped for 27 minutes.

Find the closest vehicles to the crash

Not that this company needs directions — they know exactly where they are going to get to the calls in the most efficient way possible, but for many of our customers, turn-by-turn directions are necessary. All that needs to be done is to simply click on “Directions From Here” and exact directions are shown from that vehicle to the crash site. Note that you can turn on real time traffic and adjust the route simply by dragging the purple route line from one road to another.

Get directions with traffic from your vehicle to an address

Now the dispatcher has all the information necessary to send that emergency vehicle to the scene of the accident.

As for what it looks like in the GPS Insight 3D history at that time, we can run an all vehicles 3D history for that date like this with just a couple clicks:

GPS Insight 3D History

Now we can “dial in” the time of the accident by gradually opening up the time slider until the first vehicle “arrives” on the scene at 3:22 PM (shown as a green vehicle “78 3/24 15:22″) — since this is a historical map history, we show the date as well.

Then we can open up more “time” to see which other vehicles arrived. The differently colored lines correspond to the paths of different vehicles.

other vehicles arrive at the scene of the accident

While there may be too many “dots” to easily see which vehicles arrived when, and how long they stayed, quickly clicking on the blue ones will show length of visit information (blue = idling):

how long an ambulance stayed at the site

Then if we want an exact report, just draw an exact polygon landmark around the crash site (we name it CrashSite here), and run a report as such:

Run a GPS Insight Geofence Report for GPS Tracking

Here is the report which takes less than a second to run, and which tells you exactly which vehicles arrived, and at what exact time (to the second), along with how long they were there.

Crash report

This data can be exported to Excel for further analysis, and of course the times and speeds of the ambulances from their prior locations when they were dispatched can be investigated as well in great detail using GPS Insight.

We’re glad we helped this company out, and hope the victims recover quickly. Thanks to the ambulance company for helping the victims (and even the suspect) so quickly.

Rob.

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