330 karma · joined January 2, 2018
Github @csteubs
The satellite industry is an incredibly high-walled garden. Launch costs are falling and the use of off-the-shelf hardware combined with smaller satellite forms is improving revisit, but it's a steep hill to climb no less. Custom-built monitoring algos are subject to diminishing returns based on a variety of factors and the number of images in a data set is certainly part of that.
Coolant is typically pretty easy and the intervals are longer, although I end up sticky with glycol every time I do a flush. If you ever decide to tackle the brakes, I picked up a $10 vacuum hand pump on Amazon that saved me from jury-rigging a 2liter bleeder bottle and finding someone to pump the brakes for me. Highly recommend.
When confidence in repairability is low and stakes are high, it probably makes sense to opt for a shop.
I remind myself of the the 5-digit savings whenever I'm in line at Harbor Freight... which is often.
I had only done light maintenance/upgrade work on my cars prior to the pandemic. In the last year I've replaced a rear main seal, front + rear rotors + pads on all my cars, new control arms, shocks, and struts on a sedan, a ton of electrical work, cold air upgrades, every single fluid drained and filled, etc. DIY content on YouTube is getting to the point where a middle schooler can fab a car from scratch given enough time and motivation. YMMV (literally).
I know of one market-maker HQ'd in Manhattan that currently pays $16 million/year for two satellite images per day of the oil storage tanks in Cushing, OK. Analysts determine tank volume by looking at the shadows cast by the floating lids on the tanks and use that data to set oil futures prices. There are roughly 1,500 flights over the same area every day. We're very much a hypothesis-become-startup at the moment but I'm optimistic!
I've been trying not to get too in the weeds with use cases right now as we're building because they really are endless, but supply chain intelligence and insurance are massive categories based on those who have expressed interest.
Weather is certainly an issue, but one that is shared with optical imaging satellites. SAR definitely helps with clouds and night shots, but with 100k flights per day the odds of getting at least one usable shot from a plane is far greater than a satellite due to revisit rates in orbit not matching weather changes in the troposphere.
Our system is 100% internal which allows us to sidestep massive expense that comes with tunnel testing, retrofit, maintenance, etc. Customers using our Beta receive free in-flight wifi for recording out of their window seat for short increments during their flight. We cache the previous image and compare with the new image on the device itself, transmitting only the raw diff which dramatically lowers our bandwidth needs. All orthorectification and advance photogrammetry occurs on-ground, but we outsource a ton of that processing to the edge device.
We're also designing a physical hardware camera array that can be fixed to the window and is about the size of a headphone case. If you're interested in examples, our social media accounts are full of them: https://www.instagram.com/notasatellite/
There have been past attempts to harness the passive residual capabilities of air travel for photography, but none have stuck based on the difficulty of scaling such a system. If successful, crowdsourced aerial photography for cartography could add a layer of temporal resolution we just can't achieve with fewer than 500 imaging satellites currently in orbit, and for 1/10,000th the cost of satellite-based imaging. Add on concerns about LEO crowding and the thousands of use cases near-real-time aerial imaging could provide at a fraction of the cost, it becomes an interesting problem to solve.
There are plenty of barriers to this kind of scheme, regulation in particular, that could keep airlines from participating; the first major carrier who does, however, may find themselves with a new multi-billion dollar revenue stream.
(Disclosure: Founder @ https://notasatellite.com)
There are certain bottlenecks that have developed based on our use of space in the last half century as well. I'm definitely biased here (working on such a problem), but abstracting some of our space-based capabilities to other existing and established formats will free up some much needed room and support bigger endeavors. It is and will continue to be a very complementary industry IMO.
We're building the world's first real-time map using a network of cameras aboard 120,000 daily commercial flights. Our approach lets us gather thousands of times more earth observation data at a fraction of the operational cost of building, launching, and maintaining satellites. Our competitors (Maxar, Planet, Airbus) advertise daily updates; we've demonstrated 1,430 updates on a single coordinate in early tests using just a cell phone camera.
We've recently filed 6 patents related to the core sensing methods and will be filing 6 more in Q3. We have a 3-member advisory team consisting of a retired Air Force Lt. General, CTO of a Bay-Area tech company, and the former CEO of MetroCall. I'm a technical founder looking to bring on a co-founder who can assist me with building the mobile application that handles in-flight sensing. We currently have 450 customer commitments running on a negligible burn rate and are in the process of raising our seed round.
If you'd like to hear more about the business concept, current challenges or the product roadmap, shoot me an email (chris@notasatellite.com) or check us out on social media @notasatellite.
Sure enough, a month into the trip and my downstairs neighbor has his bathroom ceiling fall in due to a leaky drain pipe in my shower. I had photo proof that the water wasn't on or leaking and the building's insurance policy ended up renovating both of our bathrooms. Came back to a brand new rainfall shower and granite countertops.
I get what you mean, though.
In order to maximize battery life and prevent user fatigue, we only alert the user to begin recording when they're approaching a task coordinate by referencing the cached coordinate with the current GPS coordinate which is readily available even in Airplane mode. The "workload" for test users so far averages about 5 alerts per flight or 5-10 minutes of "recording", typically shortly after takeoff and prior to landing. We're using Lobe to train an ML model with the image feeds, so we're working on implementing a Captcha-style post-flight survey where a few sample images taken in flight are presented to the user for first-pass labeling. If a user completes this survey, they're rewarded with additional airline miles as a thank you
There are plenty of other opportunities to gamify the recording process and we've been taking cues from apps like Waze and OpenStreetMaps to inform some of these potential reward features. Possibilities include revenue sharing, free flights after reaching milestones, travel gear, etc. I remember flying Spirit years ago and they always had a fun way to reward the unlucky souls in the middle seat by putting a sticker on one of the tray tables. The passenger sitting in the "lucky" middle seat got a free round-trip ticket which I've always thought was really cool, so perks like those are top of mind as well.
Tl;dr - we're intent on keeping the UX transparent, engaging, and unobtrusive for the recorder--point, shoot, disembark--while rewarding them in kind for their time and effort.
1. Resolution is a function of altitude, atmospheric conditions, and camera capabilities. At 30,000ft with zoom, we can get results around 10cm/px on an average smartphone (iPhone SE 2). That's still pretty sharp but we can further enhance the image using satellite base maps, upscaling, and other inference techniques. Obliques can be corrected and used to assemble a "full image" when the opposite oblique is captured, but remains useful (to a certain point on the horizon--right now about 15 miles at cruising). There's still a vast amount of information we can obtain at higher altitudes including crop yield data, snow pack, reservoir/lake water levels, forest density, etc.
2. The physical device we're prototyping is about the size of a headphone case--I actually used a Bose QC25 headphone case to cast the model! There are a few potential avenues to deploy physical sensing hardware on flights including revenue sharing with airlines, using passengers to deploy, and other partnerships in the general aviation space. The DoD in particular has expressed interest in a purpose-built device for aerial sensing but for now, mobile device crowdsourcing in the commercial markets is the focus.
3. There are huge spots in and around US airspace where planes cannot (or generally do not) fly. Satellites will remain the key players when optimizing for coverage, but the high-frequency revisit I believe is best obtained using aerial imagery. I always like to tell people that's why we're "Not A Satellite" instead of "Anti-Satellite". There's more than enough room for both, and we see a huge opportunity to increase revisit and provide a complementary offering to satellite imagery.
We've looked at revisit frequency against ADS-B data and about 80% of the US sees at least 2 flights within a mile each day, exponentially more so around cities and developed areas. Many of our customers are interested in monitoring sites within 15 miles of a major international airport, so we're able to obtain high-resolution images using mobile devices because aircraft are typically below ~8,000ft within that radius. LAX for example can see as many as 500 takeoffs and landings each day, and there are hundreds of industrial sites (ports, fulfillment warehouses, other infrastructure) within the approach path.
I genuinely appreciate your questions. We're still early-stage and the discussions I've had on HN alone have vastly improved the quality of our pitch, business plan, and exposed major blind spots. Thanks again for the kind words, and I'll be sure to drop you a line!
We've also developed our own sensing device prototype we call "The Box" that's equipped with a much more powerful array of sensors, but the mobile device-sensing approach makes the most sense for a scalable MVP.
We're taking the approach of using "free energy" in the form of 100,000+ daily commercial/freight/general aviation aircraft to crowdsource aerial imagery using mobile phones to start. Passengers who opt-in are rewarded with free in-flight wifi (where equipped), and we use the device to do orthorectification and photogrammetry at the edge before transmitting it back down via satellite internet. I'm glossing over much of the actual process, but this frees up a ton of computing that would otherwise have to be done on the ground. In the event the flight is not internet connected, we cache previous images based on flight path and upload the difference after comparing old vs. new on the device once signal is restored. End result is a massive boost in both temporal and spatial resolution at a dramatically lower cost. Think Google Maps, updated every few minutes.
We're on IG @notasatellite if you're interested in looking at some samples.
2x/day revisit for most of the world is probably sufficient for the majority of use cases, but that assumes good weather (for images). On the other hand, LAX for example sees hundreds of takeoffs and landings each day, so if you were interested in modeling retail foot traffic by parking lot volume, pace of urban development, rate of containers moving in and out of port, etc. you could get a massive boost in temporal resolution using aircraft and far cheaper than launching + maintaining a satellite constellation.