====== This is the archive of the "Smart Environments" course of Module 2, year 2022.\\
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The projects of the students are listed below:\\
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^ Team/Project name      ^ Logo       ^ Topic       ^ Short description       ^ Students involved          ^ Report          ^ Photos          ^ Code          ^
| Sick Birds | {{:smartenv_2022_logo_[Sick Birds].png.png?
direct&50 |}} | Impact of cats on wildlife | The RFID tracking system uses an interconnected web of beacons and smart collars to monitor the positions of tagged cats in a set area. Team 7 collects data on bird species and amount of birds, they have agreed to collaborate with us and send their data to our database and it can be used to compare the amount of birds to the amount of cats in the area specified. To visualize this our heat map is set up to show the amount of birds on a beacon and the cats detected by our system which is time accurate. | Massimo Peveri, Roel Vebraaken, Sanne Buser, Slava Yun, Frederik Waechter, Christopher Sta. Maria Nase | {{ :smartenv_2022_report_[Sick Birds].pdf.pdf | Report}} | {{ :smartenv_2022_photos_[Sick Birds].zip.zip |Photos}} | {{:smartenv_2022_code_[Sick Birds].zip.zip |Code}} |
| Bird Deterrent Box | {{:smartenv_2022_logo_BirdDeterrentBox.png?
direct&50 |}} | Birds throwing trash our from bins | The bird deterrent box is a box you can place on the inside of a trash bin to scare away the birds. it consists of tow sonic sensors that check whether or not something is tryin to grab a piece of trash. If it detects a bird it will sound the alarm system. | Hauk Erik Jacobsen, Dimitar Marenov, Ado Nainggolan, Ruthi Marisetty, Jeremy Lieferink, Leo Rodrigo | {{ :smartenv_2022_report_birddeterrentbox.pdf |
Report}} | {{ :smartenv_2022_photos_birddeterrentbox.zip |Photos}} | {{
:smartenv_2022_code_birddeterrentbox.zip |Code}} |
| EyeHear | {{:smartenv_2022_logo_EyeHear.png? direct&50 |}} | illegal hunting: acoustic detection system | Numerous records show that illegal hunting has caused significant decreases in wildlife populations. The project proposed in this paper focuses on tackling such issues by developing a smart environment that continuously detects sounds while checking if the obtained data values match gunshots. Such analysis can be done by strategically placing multiple devices in the area to be monitored and comparing the differences in values received. By making use of triangulation, the location of the sound source, and thus the location of the gunshot, can be pinpointed. | Rémi Astier, Ho Tak Fong, Andreea Goga, Tim Haarhuis, Nina Kwaks, Onne Iping, Carmen Diez Rodriguez | {{ :smartenv_2022_report_EyeHear.pdf | Report}} | {{ :smartenv_2022_photos_EyeHear.zip |Photos}} | {{:smartenv_2022_code_EyeHear.zip |Code}} |
| Smart Wildlife Tunnel | | A tunnel under a road that senses what animals go through | Wildlife tunnels exist to reconnect wild animals' habitats. To optimize these tunnels, data s needed about what animals do and don't use the tunnel. A main sensor in the tunnel turns on the system, followed by sensors that determine its size and finally one more sensor to determine its speed. There is also a camera installed that takes a picture when the size of the animal alone is not enough to determine what type of animal it is. | Chris Blaauwgeers, Alexander Derevyagin, Fleur Derks, Juul Jelles, Merel Kok, Thijs Koster, Daniel Pheiffer and Emilia Pavel | {{ :smartenv_2022_report_tunnel.pdf |Report}} | | {{ :smartenv_2022_code_tunnel.zip |Code}} |
| HomeHedge | {{:smartenv_2022_logo_hedgehome.png? direct&50 |}} | Hedgehog monitoring | Hedgehog tunnel in-between urban fences with built in sensors and a camera for data collection | Rutger Rinsma, Jalen Cyrus, Jarne Groenewegen, Lisa- Marie Zaremba, Altea Vesta Junio, Patrik Tuka | {{ :smartenv_2022_report_hedgehome.pdf | Report}} |  {{ :smartenv_2022_photos_HedgeHome.zip | Photo}} {{ :smartenv_2022_3dmodel_hedgehome.f3z.zip |3D Model}} | {{ :smartenv_2022_code_hedgehome.zip |Code}} |
| The Beatles | {{:smartenv_2022_logo_[THE BEATLES].png? direct&50 |}} | Deterring wild boars from Heerde | A device that detects if there is a wild boar in front of it. If it detects a wild boar, the Ultra Sonic speaker & the LED strip will activate/start blinking. The US-speaker will play a sound which is unhearable by humans but uncomfortable for boars, which will scare off the boars. These devices will get placed in a line around Heerde, 200 meters apart, to make sure the boars don’t enter the town of Heerde. | Lars van der Valk, Arthur Vafi, Bente Lochtmans, Casper van Wijland, Koki Omura, Sophie Brodkorb | {{ :smartenv_2022_report_[THE BEATLES].pdf | Report}} | {{ :smartenv_2022_photos_[THE BEATLES].zip |Photos}} | {{ :smartenv_2022_code_[THE BEATLES].zip |Code}} |
| Supersonic Megaboosters | {{:smartenv_2022_logo_supersonic_megaboosters.png.png? direct&50 |}} | Wolf collar for public education | Wolves are making a comeback in Europe, this has some people on high alert, including farmers and parents. We propose the use of a smart collar that transmits the location of a wolve to enable better prevention of serious attack/damage. Furthermore, our platform is used to educate the public about wolves and their benefit in the environment | Sebastian Orgel, David de Groot, Rares Ioan-Ionescu, Sylvia Zhao, Ewoud Janus, Fleur Groot Nibbelink, Ekaterina Koshkina, Theo van den Berg | {{  :smartenv_2022_report_Supersonic Megaboosters.pdf.pdf | Report}} | {{ :smartenv_2022_photos_supersonic_megaboosters.zip.zip |Photos}} | {{ :smartenv_2022_code_supersonic_megaboosters.zip.zip
 |Code}} |
| BATSS | {{:smartenv_2022_logo_BATSS.png?
direct&50 |}} | Slowing bat decline | Using a bat monitoring device to detect bats and scare them away from windmills using ultrasonic sensors | Bart van Dorst, Anthony Mammoliti, Madeleine Leertouwer, Niels Brouwer, Robin Geilings, Sahan Berndt, Phebe Biney, Samuel Overtoom | {{ :smartenv_2022_report_BATSS.pdf |
Report}} | {{ :smartenv_2022_photos_BATSS.zip |Photos}} | {{
:smartenv_2022_code_BATSS.zip |Code}} |
| Creepy Crawlies | {{:smartenv_2022_logo_CreepyCrawlies.png?
direct&50 |}} | Automatic Monitoring of insects | Studies have shown a rapid decrease in insect population worldwide, but there is discussion over the exact statistics. Thus, our automated pitfall trap helps to more accurately monitor insect populations. Using an ultrasonic sensor, an insect is detected once it falls into the pitfall trap. The bottom of the trap is raised so the insect can crawl out freely without being stuck in the trap. A counter is incremented, sent to a laptop via Bluetooth, and intuitively visualised.| Bas Liebe, Eris Vornhecke, Maaike van Lochem, Andrei-Claudiu Iarca, Fernando Nicolas González Rico, Candela Cimadevilla González | {{ :smartenv_2022_report_CreepyCrawlies.pdf.pdf | Report}} | {{ :smartenv_2022_photos_CreepyCrawlies.zip |Photos}} | {{:smartenv_2022_code_CreepyCrawlies.zip |Code}} 
| KAGU | {{:smartenv_2022_logo_[Kagu_group13].png?
direct&50 |}} |Helping endangered tropical birds| Tropical birds are starting to be more and more endangered due to deforestation and people hunting them for their feathers and to keep them as pets. We are trying to help them by pinpoint the location of the bird using triangulation with amplitude input. Also, we have frequency recognition, and our program can recognize a bird based on its frequency. If we know the information of which bird it is and its location we can help the bird in many different ways|Nadja Bobic, Niels Groeneveld, Jade Hazeleger, Rodrigo Gonzalez Ruiz, Carlos Romero, Wouter Stoter, Apurv Kanth, Esmée Detri | {{ :smartenv_2022_report_[Kagu_group13].pdf |
Report}} | {{ :smartenv_2022_photos_[Kagu_group13].zip |Photos}} | {{
:smartenv_2022_code_[Kagu_group13].zip |Code}} |
| Smoking Eel | {{:smartenv_2022_logo_Smoking Eel.png?
direct&50 |}} |Fish Monitoring System | With this Setup using an Arduino Mega and multiple lasers you can monitor fish populations, fish size, fish speed and in which direction fish are swiming. Designed to be implemented in waterways like fishtraps and other points where measuring can be usefull. Could also be used as a toy to teach kids about fish and could be used in many other ways. | Colin Harmsen, Eva Stienstra, Rowan Beukelman, Justen ter Horst, Yannick Sloot, Gorkem Cardak, Theoni Constantinou  | {{ :smartenv_2022_report_Smoking Eel.pdf.pdf |
Report}} | {{ :smartenv_2022_photos_Smoking Eel.zip.zip |Photos}} | {{
:smartenv_2022_code_Smoking Eel.zip.zip |Code}} |
| The Rangers | {{:smartenv_2022_logo_TheRangers.png?
direct&50 |}} | Sound isolation and bird detection | Background noise is a major problem for bird researchers. Sound pollution such as highways and city noise make recognising and counting birds difficult. To solve this TWEAK was developed. TWEAK can filter bird noise from background noise, leaving the researcher with a clear sound file. On top of that, TWEAK can accurately recognize bird species and approximate the number of birds in the sampled area. TWEAK uses an array of six unidirectional microphones for this. TWEAK is rainproof and windproof. All of this makes TWEAK a great tool for sound-based bird research! | Anna Ridala, Bas Reterink, Jona Patig, Luuk Jansen, Max Vroomans, Maryna Bielik, Xinran Zhi | {{ :smartenv_2022_report_TheRangers.pdf |
Report}} | {{ :smartenv_2022_photos_TheRangers.zip |Photos}} | {{
:smartenv_2022_code_TheRangers.zip |Code}} |
| BeeEaters | {{:smartenv_2022_logo_BeeEaters.png?
direct&50 |}} | Large-Scale Bird Monitoring | The B.I.R.D. (Bioacoustic Intelligent Recording Device) continuously gathers audio data from its surroundings through the use of a microphone, which is subsequently analysed by a custom machine learning algorithm for the specific bird call of the Grey Heron. When this call is detected, the B.I.R.D. activates various sensors and transmits the collected data from these sensors to a local server which is visualised on our own website. This system can be classified as a smart environment due to its ability to gather, process and utilise data to adapt and respond to the environment. | Matt Hassing, Badr Boubric, Carlijn le Clercq, Yana Volders, Isaac Sánchez, Ozan Kurtulus, Euripides Christofides | {{ :smartenv_2022_report_BeeEaters.pdf | Report}} | {{ :smartenv_2022_photos_BeeEaters.zip |Photos}} | {{:smartenv_2022_code_BeeEaters.zip |Code}} |
| A.R.C. | {{:smartenv_2022_logo_ARC.png?
direct&50 |}} | Animal road crossing warning system | Animal road-kill accidents are a big problem around the world. According to studies, Europe faces 29 million road-kill accidents each year alone. Therefore, ARC set out to create a system to decrease animal road-kill incidents. The purpose of the system is to alert drivers of animal presence near roads to increase their reaction times, in turn decreasing the probability of an animal-vehicle collision. Our proposed solution consists of a network of connected nodes placed alongside the road that can detect animal movement and warn oncoming drivers of possible danger. | Torben Venema, Willem Paternotte, Julian van der Sluis, Tomas Rendon Felix, Denas Hakuts Kozmianas, Anna Kefala, Folkert Koopmans | {{ :smartenv_2022_report_ARC.pdf |
Report}} | {{ :smartenv_2022_photos_ARC.zip |Photos}} | {{
:smartenv_2022_code_ARC.zip |Code}} |
| Go_Wild | {{:smartenv_2022_logo_Go_Wild.png?
direct&50 |}} | Light Pollution Insect Detection | To gather info on which light types harm insects most through light pollution, our setup detects insects with LDR sensors and the ESP32 camera chip by luring them with an RGB lamp. The photos are processed by image classification AI and are sent to a visualisation program together with time, light color, humidity & temperature data. |Aidana Meles, Arnoud Hartemink, Elia Treccani, Nina Ooms, Oskar Thörl, Sigrid Kim | {{ :smartenv_2022_report_Go_Wild.pdf |Report}} | {{ :smartenv_2022_photos_Go_Wild.zip |Photos}} | {{:smartenv_2022_code_Go_Wild.zip |Code}} |
| goCrows | {{:smartenv_2022_logo_goCrows.png?
direct&50 |}} | Crow detection and redirection | Monitoring crows close to urban areas through using infrared sensors and pressure plates. Using the monitoring system to activate a lighting mechanism to scare crows away. | Nina Björk Costa Håland, Niels Walraven, Kaya Veen, Femke Stockmann, Anna Hornman,Maja Lamminga | {{ :smartenv_2022_report_gocrows.pdf |
Report}} | {{ :smartenv_2022_photos_gocrows.zip |Photos}} | {{
:smartenv_2022_code_gocrows.zip |Code}} |