Home / Blog / Animals and Birds Use Retinal Jitter Strategies To Focus – Should Drones Use A Similar Technique

Animals and Birds Use Retinal Jitter Strategies To Focus – Should Drones Use A Similar Technique

Have you ever puzzled how one can stroll or jog, together with your head bouncing up and down, whereas nonetheless specializing in an object both close by or distant? Have you seen how you are able to do the identical and choose distance, pace of object, and minute particulars of that object rapidly and precisely? Well, the rationale you are able to do this so properly is how the thoughts utilizing body bursting of photos out of your reminiscence, and retinal jitter that can assist you rapidly fill within the particulars, in the meantime your visible cortex fills within the blanks – all this taking place in micro-seconds utilizing a mind that’s barely drawing 20-watts of energy. Wow, speak about a state-of-the-artwork natural design and know-how – spectacular my fellow human.

Of course, some animals and birds do that even higher than we do, with a lot smaller brains. Consider if you’ll an owl, hawk, or bald-eagle. The phrase “Eagle Eyes” is apropos right here, give it some thought. Using biomimicry methods maybe we are able to make our UAV (unmanned aerial automobile) or drone video imaging extra highly effective and acute – and in doing so, contemplate for a second the variety of functions it will have an effect on? How are we doing up to now with these ideas? Well, 3-axis gimbals are essentially the most sought by small drone house owners, however why have a 3-axis if you can also make a 4,5,or 6-axis gyro stabilization gimbal for higher video decision and accuracy. That will surely help in stabilizing the video digicam, so too do quad copter designs that are fairly secure even in reasonable turbulence.

Let’s speak about methods for a second – to get to that eagle eye potential we see in nature. One patent, “Apparatus and strategies for stabilization and vibration discount,” US 9277130 B2, duly states: “Currently, there exists primarily 4 strategies of vibration dampening generally employed in pictures and videography to cut back the consequences of vibration on the image: software program stabilization, lens stabilization, sensor stabilization, and total capturing tools stabilization.”

What if we additionally work with visible recognition techniques for body bursting, solely specializing in issues that meet our mission standards, “OR” are full anomalies (misplaced). In a human thoughts, issues misplaced usually set off the N400 mind wave, evoking curiosity, nuance, or curiosity. We can program the identical utilizing algorithms requiring the video digicam to; examine, establish and act. Or, as Colonel Boyd’s “OODA Loop Strategy” suggests: Observe, Orient, Decide, and Act. And the fighter pilot who can try this quickest ought to win the aerial canine-combat supplied they make good use of their vitality and air-pace. Good recommendation, even when we borrow it to debate how greatest to program a UAS (unmanned aerial system) to finish a process or mission.

In one paper ” Model-based video stabilization for micro aerial autos in actual-time,” the summary states; “The rising department of Micro aerial autos (MAVs) has attracted an excellent curiosity for his or her indoor navigation capabilities, however they require a top quality video for tele-operated or autonomous duties. A frequent downside of on-board video high quality is the impact of undesired motion, and there are completely different approaches for fixing it with mechanical stabilizers or video stabilizer software program. Very few video stabilizer software program will be utilized in actual-time and their algorithms don’t contemplate intentional actions of the tele-operator.”

Indeed, that is the issue and it’s a actual one if we ever hope to ship drones out to do autonomous missions, whether or not delivering a bundle or work as a flying safety guard for for instance a industrial development web site.

That paper goes on to counsel a method to clear up a few of these challenges, particularly: “A novel approach is launched for actual-time video stabilization with low computational value, with out producing false actions or lowering the efficiency. Our proposal makes use of a mixture of geometric transformations and outliers rejection to acquire a sturdy inter-body movement estimation, and a Kalman Filter primarily based on a dynamic mannequin.”

Now then, though there are people engaged on these items, it’s apparent that till the sensors, imaging and tools get higher at such duties, we is not going to fulfill the will to permit drones to do work autonomously in a secure and environment friendly method garnering the advantages we anticipate of those applied sciences sooner or later. I hope you’ll contemplate my ideas right here and a few of my suggestions to borrow methods from nature to perform such targets.


A.) “Vision-Based Detection and Distance Estimation of Micro Unmanned Aerial Vehicles,” by Fatih Gokce, Gokturk Ucoluk, Erol Sahin and Sinan Kalkan. Sensors 2015, 15(9), 23805-23846; doi: 10.3390/s150923805

B.) Thesis: “Accelerated Object Tracking with Local Binary Features,” by Breton Lawrence Minnehan of Rochester School of Technology; July 2014.

C.) “Model-based video stabilization for micro aerial autos in actual-time,” by Wilbert G Aguilar and Cecilio Angulo.

D.) “Real time Megapixel Multispectral Bioimaging,” by Jason M. Eichenholz, Nick Barnetta, Yishung Juanga, Dave Fishb, Steve Spanoc, Erik Lindsleyd, and Daniel L. Farkasd.

E.) “Enhanced Tracking System Based on Micro Inertial Measurements Unit to Measure Sensorimotor Responses in Pigeons,” by Noor Aldoumani, Turgut Meydan, Christopher M Dillingham, and Jonathan T Erichsen.

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