#SDG In Focus
SDG : 11 Sustainable Cities and Communities
This device has a PIR sensor to detect the entry of the birds in the balcony, a speaker to trigger the thud sound to shoo away the birds.
Using a laser cutter, a small box was made from 3.5mm MDF wood. Inside the box was a simple circuit. The device was placed on the balcony railing as shown in the image.
The sensor was detecting the movement from nearby leaves on branches, a small piece of plastic was applied between the sensor and the frenzel lens. This however reduced the accuracy of detecting an object in its proximity but it also prevented any false positives.
This experiment was super successful and had zero false detections, the buzzer only buzzed when I put my hand in front of the sensor or a pigeon came. However, the only issue I learnt was that the PIR sensor would be able to detect a bird if it came from the range between the red lines drawn as shown in the sketch.
CAD | Electronics | Design Thinking | Programming | Soldering | Prototyping | Laser cutting
Detailed Project Documentation
This Project Has Been Developed By The Alumni Of Innovation School
Solution In Action
As we know, birds like pigeons roost and nest in high rise buildings.
Roosting birds cause a lot of discomfort and nuisance to the inhabitants with their droppings and feathers. Can’t blame the birds though, but cleaning the droppings is awful!
Bird nests can clog pipes and drains, create fire hazards and cause damage to your roof or ceiling area as well.
They often spread diseases causing a lot of ruckus.
Often the only solution for them is a pigeon net. Which however are very un-aesthetic. Nobody likes buying a gorgeous flat and putting a bird net on the windows in major cities like Mumbai.
To build a Bird Deterrent which is not harmful and just scares the birds away from coming towards the building.
Version one will detect pigeons using a PIR sensor and use a speaker to produce alarming or predatory sounds to scare the pigeon.
To check whether the pigeon will be detected with the PIR sensor successfully, I setup an ESP8266 in my balcony that logged the time on an Adafruit feed when the PIR sensor returned a positive feedback.
To verify whether the detection was only for a pigeon and not something else, a camera was put to record the entire balcony. After the experiment I cross checked the time logs and matched it to the video to see whether the detection was a false one or a true one.
Unfortunately, the experiment was unsuccessful because multiple detections were logged every minute. And almost none of them were pigeon detections. This happened despite the PIR sensor being calibrated to minimum sensitivity and time delay. I suspect the jumper being faulty.
This time I used an Arduino for the sake of simplicity, changed all the wires and also used a buzzer.
This experiment was super successful and had zero false detections, the buzzer only buzzed when I put my hand in front of the sensor or a pigeon came. However, the only issue I learnt was that the PIR sensor would be able to detect a bird if it came from the range between the red lines drawn.
As drawn in the diagram above, if the pigeon enters far enough to the side that it doesn’t cut the 3m long virtual cone space created by the PIR sensor, it will not be detected. This blindspot hasn’t been a problem yet because pigeons usually enter through the centre. But if they do figure out the blindspot, it will become a problem. To cover the blindspot, two possible solutions are there: use two sensors and get a wider area of detection with more accuracy as shown in the diagram above; or use different frenzel lenses. Option 2 is definitely more cost effective and easier. But it’s doubtful how much of the blindspot will it be able cover.
Using a laser cutter, a small box was made from 3.5mm MDF wood. Inside the box was a simple circuit with a Arduino Nano, buzzer and PIR sensor. The box was placed on the pillar of a window facing outwards to detect for incoming pigeons. However, this experiment wasn’t successful because it detected cars from the nearby street even after being on the minimum sensitivity setting.
Using the same prototype from the last experiment documented (E.3.0), the device was placed on the balcony railing as shown below.
Since the sensor was still detecting the movement from nearby leaves on branches. I put a small piece of plastic (the double sided tape’s removable covering) between the sensor and the frenzel lens. This however reduced the accuracy of detecting an object in its proximity but it also prevented any false positives. Since this particular area didn’t have the pigeon problem, we just simply threw a beanie back and forth to simulate the pigeon behaviour.