Amazon Ends California Drone Deliveries While Expanding To Arizona

The outgoing MK27 drone used by Amazon today for deliveries. (Credit: Amazon)
The outgoing MK27 drone used by Amazon today for deliveries. (Credit: Amazon)

When Amazon started its Prime Air drone delivery service in 2022, it had picked College Station (Texas) and Lockeford (California) as its the first areas where the service would be offered. Two years later, Amazon has now announced that it will be expanding to the West Valley of the Phoenix Metro area in Arizona from a new Tolleson center, while casually mentioning buried in the press release that the Lockeford area will no longer be serviced. No reason for this closure was provided, but as a quite experimental service drastic shifts can be expected as Amazon figures out what does and does not work.

Amazon Prime Air features custom drones that can transport packages up to 5 lbs (~2.27 kg) to its destination within an hour, if the item is listed as Prime Air capable for your area. Along with the change in service areas, Amazon is also testing its new MK30 drone (pictured, top), which should be much quieter due to a new propeller design and have twice the range of the old MK27 as well.

Even if flying drone delivery isn’t quite a blow-away success yet, Amazon doesn’t seem to be letting up on investing in it, and it could be argued that for certain items like medication or perishables, it does make a certain sense over traditional delivery and pick-up methods.

A Drone Motor Does E-Bikes

On paper, the motors from both an electric bicycle and a drone can both take about 500 watts or so of power. Of course, their different applications make them anything but equivalent, as the bike motor is designed for high torque at low speed while the drone motor has very little torque but plenty of speed. Can the drone motor do the bike motor’s job? [Pro Know] makes it happen, with a set of speed reducing and torque increasing belts.

The build takes a pretty ordinary bicycle, and replaces the rear brake disk with a large pulley for a toothed belt, which drives a smaller pulley, and through a shaft another set of pulleys to the drone motor. The bracket to hold all this and the very large pulley on the wheel are all 3D printed in PLA-carbon fiber mix.

When it’s assembled, it runs the bike from a small lithium ion pack. That’s not unexpected, but if we’re honest we’d have our doubts as to whether this would survive the open road. It’s evidently a novelty for a YouTube video, and we’d be interested to see how hot the little motor became. However what’s perhaps more interesting is the choice of filament.

Could carbon fibre PLA be strong enough to print a toothed belt pulley? We’d be interested to know more. We saw the same filament combo being tested recently, after all.

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ESP-Drone: Building An ESP32-Based Quadcopter For Not Much Cash

What’s the cheapest quadcopter you can build? As [Circuit Digest] demonstrates with their variant of the ESP-Drone project by Espressif, you only need a minimum of parts: an ESP32 MCU, an inertial measurement unit (IMU) such as the MPU6050, and four MOSFETs to drive the brushless DC motors. As the PCB also forms the structural frame and landing struts for the quadcopter, not even a 3D printer is needed. All told, [Circuit Digest] figures the total BOM comes in at around 1,000 Indian Rupees, or about $12 USD.

The fully assembled ESP-Drone flying around. (Credit: Circuit Digest)
The fully assembled ESP-Drone flying around. (Credit: Circuit Digest)

While this [Circuit Digest] project provides basic IMU functionality, the Espressif project also has a few expansion boards detailed on its hardware page, depending on the base model of the mainboard you pick. The [Circuit Digest] project follows the ESPlane-V2-S2 version with no expansion boards, but the ESP32-S2-Drone V1.2 mainboard can be extended with position-hold, pressure and compass modules, as well as custom boards.

As a derivative of the Bitcraze Crazyflie project, the ESP-Drone firmware also supports the rather nifty cfclient software for remote monitoring, logging and control. This may also be in the [Circuit Digest] firmware, but wasn’t listed among the features.

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Fastest FPV drone, pending official confirmation. (Credit: Luke Maximo Bell)

Got To Go Fast: The Rise Of Super-Fast FPV Drones

Generally when one considers quadcopter drones, the term ‘fast’ doesn’t come to mind, but with the rise of FPV  (First Person View) drones, they have increasingly been designed to go as fast as possible. This can be for competitive reasons, to dodge enemy fire on a battlefield, or in the case of [Luke Maximo Bell] to break the world speed record. Over the course of months he set out to design the fastest FPV drone, involving multiple prototypes, many test runs and one failed official speed run.

The components of the third FPV drone attempt, as used with the world record attempt. (Credit: Luke Maximo Bell)
The components of the third FPV drone attempt, as used with the world record attempt. (Credit: Luke Maximo Bell)

The basic design of these designed-for-speed FPV drones is more reminiscent of a rocket than a quadcopter, with the upside-down propellers  requiring the operator first lifting the drone into the air from an elevated position. After this the drone transitions into a level flight profile by rotating with the propellers pointing to the back. This gives the maximum thrust, while the body provides lift.

Although this seems simple, flying this type of drone is very hard, as it’s hard to tell what is happening, even when landing. [Luke] ended up installing a camera in the nose which can rotate to provide him with different angles. Tweaking the flight computer to deal with the control issues that occur at speeds above 300 km/h.

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A screenshot of the drone monitoring application, showing spoofed drones and their coordinates

Can’t Disable DJI Drone ID? Spoof It With An ESP!

We have been alerted to a fun tool, a DJI DroneID spoofer software for ESP8266/ESP32 and some other popular MCUs. Last year, we’ve told you about DJI DroneID — a technology DJI added to their drones, which broadcasts data including the drone operator’s GPS position, which, in turn, appears to have resulted in Ukrainian casualties in the Ukraine war. The announcement tweet states that DJI has added mechanisms from downgrading firmware. Hence, the spoofer.

There’s no other hardware needed, well other than an ESP8266 or ESP32 devboard, anyway. After the break you can find a video tutorial from [Joshua Bardwell] that shows you how to upload the code using Arduino IDE, and even going through coordinate tweaks. If you ever reminisced about the concept of throwies and were wondering what kind of useful, well, there’s your answer: clone the Git repo, compile it, program some interesting coordinates in, and witness the imaginary drones fly.

All in all, we get a lovely addition to our shenanigan toolkits. Surely, someone could use a neural network to distinguish real drones from fake ones, but it’s nothing that can’t be solved with a bit of code. Looking for a less daring hack? Well, you can always add some automation to your DJI drone by poking at the RGB LED signals.

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Drone Motion Capture, The Open Source Way

If you want to do some really advanced flying with drones, you typically need to be able to track them in space. [Joshua Bird] has whipped up a drone tracking system that can do the job for as little as $20 with millimeter-scale precision.

The system uses four PS3 Eye cameras which can be had second-hand at a cost of just $5 each. They’re modified by removing their IR cut filter, and putting in an IR-passing filter in the form of a cut-up slice of floppy disk. The system tracks the drones via their infrared indicators and the known locations of the four cameras themselves, which the system is capable of mapping out automatically. By using four cameras, the system is robust in the event the view of a camera is occluded. The system can track multiple drones at the same time, with [Joshua] demonstrating it working with two drones each carrying three infrared markers. He has the system set up to send positional updates to ESP32 microcontrollers on the drones themselves, which command the drones to hold them in set positions.

Code is available on GitHub for the curious. We’ve seen other similar work before, too.

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3D Printed Mini Drone Test Gimbal

Drones are a pain, especially mini ones. When you are designing, building (or even reviewing) them, they inevitably fly off in some random direction, inevitably towards your long-suffering dog, hit him in the butt and send him scuttling off in search of a quieter spot for a nap.

[Tristan Dijkstra] and [Suryansh Sharma] have a solution: a mini-drone test gimbal. The two are in the the Networked Systems group and the Biomorphic Intelligence Lab who use CrazyFlie drones in their work, which require regular calibration and testing. This excellent design allows the drone to rotate in three dimensions, while still remaining safely contained. That means I could test the flight characteristics of a drone without endangering my dogs important napping schedule.

Efforts involved attaching a light tether that restricts the drone until we know how the it flies, but what usually happens is that the tether gets trapped in a rotor, or the tether gets tight and the drone freaks out and crashes into the ground.

Using a gimbal is far more elegant, because it allows the drone to rotate freely in three dimensions, so the basic features of the drone can be established before you let it loose in the skies.

The gimbal was designed with the CrazyFlie in mind, but as there’s nothing more exotic holding the craft down than a zip tie, it should work with similarly sized quadcopters.

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