Not A Satellite Labs

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Charlotte, NC
Not A Satellite Labs

Using a network of cameras onboard +80,000 daily commercial flights to build the world's most up-to-

02/16/2022

Supply chains are fascinating, complex, and constantly changing—particularly in the last few years. The nature of moving things around can make it incredibly difficult and expensive to get an accurate picture of logistics data, where once-daily satellite imagery may not tell the whole story. That’s where we come in…

Approximately 80% of large (+100k sq. ft) shipping and transport warehouses in the U.S. are located within 10 miles of a major international airport. High flight volume coupled with the lower altitudes at takeoff and landing allow us to capture thousands of high-resolution images of these transport hubs every single day, and at a fraction of the cost of satellite-based imagery.

This particular warehouse sees an average of 67 flights overhead each day, allowing supply chain managers to get an incredibly fine-grained picture of throughput on the ground. Higher optical resolution than satellite imagery, no minimum purchase area, and with custom data points built in.

That’s pretty neat.

08/27/2021

We’ve been hard at work building our first mobile sensing app! More details to come, but users at the window seats are rewarded with free in-flight wifi access in exchange for recording video out of the window during their flight. The app alerts users to begin filming based on your current location, typically 3-5 times in 5 minute sessions during a cross-country flight. The video feed is streamed back down for processing using the in-flight internet which spares your device storage from having to hold and reuplod large media files. We’re still ironing out some of the kinks but excited to get it in some hands for user testing before our GA release. 🛫📱

08/13/2021

Coastal erosion impacts millions of people and billions of dollars worth of infrastructure. Our ultra-rapid revisit approach allows environmental analysts to visualize thousands of seemingly tiny changes to improve infrastructure resilience and planning.

Plus is neat.

07/08/2021

If a picture’s worth a thousand words, turning that same picture into a digital map in near-real time is worth a million.

07/01/2021

There are a lot of unseen steps that an image takes on its way to becoming a map tile. One of those steps involves using machine learning to infer what’s being shown in an image. We use classifiers to group commonly observed objects such as swimming pools, parking lots, containers in a port, snow pack on mountain tops, etc. Our customers can then search the map by object and see how those objects change over time, using hundreds (sometimes thousands) of images captured daily.

PS: for the ML fans out there, we use Lobe to train our model against two image sets—real images from flight, and oblique snapshots from digital maps.

06/08/2021

Us vs. Them ($300 iPhone 50x/day vs. $3,500,000 satellite 2x/day)

Did we mention we’re 500 times less expensive than satellite imagery? 😏

02/25/2021

Industrial site monitoring made easy.

We can measure just about anything; coal reserves at power plants, parking lot density at retail outlets, crop yield at farm sites, and the list goes on. What sites are you most interested in?

*Not A Satellite is a privately held startup and we’ve just begun our first round of fundraising. For investor information, visit our site and register to get in touch.*

10/14/2020

Raising the bar AND the roof. 🏠

Residential areas are one of our most requested image categories, especially in regions prone to severe weather. With this data, insurance companies can run damage assessments, roofing and pool companies can provide faster quotes, and landscapers can monitor regrowth in a development without ever having to deal with a drone or waiting months for a recent image. Just one of the ways we’re bringing data back down to earth.

10/12/2020

Q: How do you get meaningful insights when recording in the dark?

A: Filters! By running videos captured at night through an inversion filter, we can see exactly where light is most concentrated. Combined with our ultra-high revisit rate, this method is able to indentify trends in building occupancy and energy use, cloud correction, and even traffic flow—if you look closely, you can see the beam path from headlights throughout this sample.

Pictured: data centers on the northern approach to Dulles Int’l Airport

10/11/2020

“If you’re ‘Not A Satellite’ how do you get these images?”

This is a question we get a lot; in this case, we used an iPhone SE at cruising altitude to capture the water levels in Lake Powell this past Friday. It looks like a satellite image, but cost orders of magnitude less to capture.

10/08/2020

“Alexa, play Rocky Mountain High”

User submission from on a flight out of Denver last week shows the Colorado Rockies in excellent detail. GIS analysts find a ton of value in measuring the snow pack at the peaks to infer atmospheric conditions; plus it just looks cool.

06/27/2020

Sneak peek at some early object classification implementations using the box sensing array prototype. By analyzing each stream independently, classification accuracy improves by up to 97% and powers some cool features (like edge detection and inference with cloud-peering).

Don’t just take our word for it—join the waitlist @ notasatellite.com and be the first to know when we launch.

Address

Charlotte, NC
28201-28237, 28240-28247, 28250, 28253-28256, 28258, 28260-28262, 28265-28266, 2

Website

https://notasatellite.com/

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