Hammer Looking for a Nail, AI Drone Looking for Business Case
Dispatcher is an autonomous drone system for first responders, facing regulatory challenges. It features advanced computing and 5G connectivity but relies on cloud computing. Partnerships are sought for commercialization.
The creator of a new Aerial Intelligence system called Dispatcher claims it functions like an autonomous drone that can respond to real-world situations without manual control. The system is designed to assist first responders, providing on-demand air support similar to a police helicopter. Despite its innovative features, the creator acknowledges significant challenges in bringing the product to market, including regulatory hurdles and liability concerns associated with unmanned systems making autonomous decisions. The drone utilizes off-the-shelf hardware, which may struggle to compete with established brands like DJI. It boasts advanced onboard computing capabilities and unlimited range through 5G connectivity, with a user-friendly control interface that allows for integration with various platforms. However, the creator notes that the current web-based control interface relies heavily on cloud computing, which may limit its effectiveness as a standalone product. The creator is seeking partnerships, potential integrations, or a co-founder to help commercialize the Dispatcher system and is open to providing demonstrations to interested parties.
- Dispatcher is an autonomous drone system designed for first responders.
- The product faces regulatory and liability challenges that may hinder market entry.
- It features advanced computing and 5G connectivity but relies on cloud computing.
- The creator is looking for partnerships or co-founders to help bring the product to market.
- Demonstrations of the system are available for interested parties.
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Hey, what you're talking about does have regulatory difficulties but they can be overcome with connections. You also need a different roadmap to success that is not just police and fire as there might not be enough money, and if you could you could compete with DJI's pricing and polish you'd have a different roadmap anyway. Also, early success in the US could help you push into opportunities with international customers.
Are you experienced in building relationships with police and fire? I'd start there as it's quite doable. They will help you cut through some FAA red tape but you'll also have to do some of the lifting for them too.
While the situation with DJI and Skydio may look very difficult to surmount, there are some directions you can take your drone that makes it more fit for fire and police use cases as well as beyond, you just have to focus on capability differentiation and not price and polish (DJI's Dock 2 pricing is amazing). For example, collision avoidance or high wind resistance. DJI is also facing uncertain political climate as Florida recently banned them for the use case you're talking about.
There are quite a few people working in your space, as you know, and drones as part of the first responder story are already becoming real in some cities.
Would very much love to chat and exchange ideas, shoot me an email at vroom@vars.io.
Obligatory IANAL here, but (not US) event organiser.
Potential use cases are almost endless: agriculture, first responders, defense, maintenance, planning, transportation...
A lot of the value proposition will probably come from getting these drones to be as effective and autonomous as possible - this is easier to do if you have a domain-specific product.
As for myself, I am currently writing my own flight controller for Quadcopters in Rust targeting Linux and STM32s - quite the journey as I had no embedded programming experience before starting that project.
From day one, there were use cases for computers, as long as they provided tons of value with very little compute. It took until the late seventies for computers to be cheap and useful enough lower-value small-scale use cases.
Particularly banking could extract a lot of value from, say a 1 Hz CPU, because human computers more of a hassle to deal with than 9000 inefficient tubes or relays In the 60s, using computers to decode h256 video to watch some cooking instructions would be absurd.
Today, we extract value from drones, at a certain cost. The cost is determined by how much of a pain in the ass it is to use. For good PMF you need to get the value to pain ratio high enough.
These are the costs/pain points that hold back further adoption, in my personal experience:
Flight planning:
- Check adjacent land use (recreational, harbor, airport) for regulatory reasons.
- Check NOTAMS and airspace restrictions.
- Obtain airspace clearance (requires a phone call currently I believe)
- Check wheather, esp. wind speed.
- Ensure ground area is controlled and all people are informed.
During operation, continuous observation from operator required in order to detect the following potential issues:
- Battery level critical during RTH (time between low and critically low battery voltage can only be estimated and is affected by battery wear).
- Compass failure. State estimation algos will reject bad compass readings and fall back to GNSS for yaw estimation, so this can be avoided with good code)
- GNSS failure (can always happen due to tall obstacles)
The ground area needs to have no uninvolved persons (unless drone has safe abort system such as a parachute), because the following could cause an unplanned meeting with the ground:
- Battery failure
- Airframe failure
- Collision
- Thrust system failure (prop, motor, inverter)
- Flight controller failure (easy to lock up the MCU with some bad code)
If the above was not a reality, we would see more drones, esp with full autonomy. There are a lot of possible failures that are hard (but not impossible) to automatically detect and mitigate. Effectively constant monitoring by an operator is needed (this can be done remotely from a control room).
Everything is automated, but supervision is needed and I need to be on the ready in the event of an emergency.
I was thinking about those VR raybans that would provide an overlay HUD. Combined with voice commands that could be quite something.
Essentially you are working on improving the UI side of drones, exploring different ways to interact with the drone. You have probably seen QGroundControl, Mission Planner and some of the proprietary apps. Essentially all these features could in theory be voice controlled.
I have personally never used voice assistance so I cannot comment what that would be like to use. The only thing I noticed in field work is that you need 8 hands and 8 eyes essentially, so voice UI could help there.
I think you're making your route to market overly complicated by calling it autonomous. Just call it what it is – a drone with a AI navigation system. As long as a person commands it and monitors it (and thus _is responsible_), there's no reason to call it autonomous.
First video has 131 views – I hope this blows up.
e.g. “fly around this construction site to inspect these things from these angles and return to base” or “fly around the exterior of this building capturing detailed footage of these things and looking for any anomalies vs previous survey footage”.
I’ve been playing with high resolution satellite photography to identify anomalies on the rooftops of buildings we manage - eg plants growing near critical infrastructure on the roof such as solar panels or smoke vent equipment. Carrying out these inspections manually is often complex and expensive (two man crew, rope access, cherry pickers, etc) and although satellite photography is cheaper it’s still somewhat costly.
Another extension of this would be identifying abandoned vehicles on public streets - or in private car parks attached to offices or apartment buildings.
At a city/borough level use existing data to identify the areas that tend to be used to adandon vehicles and conduct autonomous fly-by on a regular schedule looking for vehicles and capturing the licence plate details. A vehicle hasn’t moved for 2/4/8 (whatever schedule matches known data) days, maybe not an issue, but check the licence plate and look up to ensure the vehicle is roadworthy and insured (I’m in the UK where we have specific databases for this).
If the vehicle hasn’t moved after eg 30 days, contact the owner checking everything is OK. If it’s not moved after then monitor or if other indicators (roadworthy/insured) change begin legal process. This is typically done manually by wardens here in London and because they often miss vehicles that are abandoned unless they are in controlled parking zones - but even then the vehicle might have a 12 month permit but have been abandoned. This is a much bigger problem on private land as often the parking enforcement people don’t visit regularly (or there may be no enforcement) and if the vehicle is abandoned the person doesn’t necessarily care - or may not be receiving - notifications about tickets.
Another use case could be public parks - carry out a regular survey, identify any anomalies present against previous survey and flag for manual inspection. You could have a small fleet of these drones which would carry out surveys before opening and after closing, each raised with specific surveys of areas, and on a schedule “check the net of the basketball hoop every third day” or “examine the gates of the tennis courts for signs of rust”.
We are taking it into the visualization / interview prep space, where I think the tech offers a 10x improvement over a mirror or someone's imagination, instead of replacing another human, where it's 10^9X worse.
Andy Rachleff (Wealthfront, Benchmark) says venture-scale startups are about developing new tech and then finding business cases for them. It's helpful as founders to pattern match, watching how it's done in AI drones, AI iOS apps, etc.
I could see this being useful for ranchers/farmers. It can be used to identify loss.
It can be used to identify invasive species and where they are flourishing. Or to find where mosquitoes are breeding and possibly prevent them from doing so.
Some of these may not require regulatory approval.
Looks like you are walking down the same path in different places.
How does it deal with other air traffic? NOTAMs etc?
A voice interface to an unmanned eye in the sky or close air support is every soldier's dream.
What you have built is really excellent. That wasn't just a demo, it felt like a mature product already.
I imagine a good use case will be farmers. Check on weather, operations ... hell it could be an automated sheep dog!
Having this in ubran areas would suck unless it could be quiet and guaranteed not to injured.
Also you are clearly a sales and tech two-for-one unicorn.
Good luck!
Are you a software engineer? What’s your background? Cool demo
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