With new technologies revolutionizing data collection, wildlife researchers are becoming increasingly able to collect data at much higher volumes than ever before. Now we are facing the challenges of putting this information to use, bringing the science of big data into the conservation arena. With the help of machine learning tools, this area holds immense potential for conservation practices. The applications range from online trafficking alerts to species-specific early warning systems to efficient movement and biodiversity monitoring and beyond.
However, the process of building effective machine learning tools depends upon large amounts of standardized training data, and conservationists currently lack an established system for standardization. How to best develop such a system and incentivize data sharing are questions at the forefront of this work. There are currently multiple AI-based conservation initiatives, including Wildlife Insights and WildBook, that are pioneering applications on this front.
This group is the perfect place to ask all your AI-related questions, no matter your skill level or previous familiarity! You'll find resources, meet other members with similar questions and experts who can answer them, and engage in exciting collaborative opportunities together.
Just getting started with AI in conservation? Check out our introduction tutorial, How Do I Train My First Machine Learning Model? with Daniel Situnayake, and our Virtual Meetup on Big Data. If you're coming from the more technical side of AI/ML, Sara Beery runs an AI for Conservation slack channel that might be of interest. Message her for an invite.
Header Image: Dr Claire Burke / @CBurkeSci
Explore the Basics: AI
Understanding the possibilities for incorporating new technology into your work can feel overwhelming. With so many tools available, so many resources to keep up with, and so many innovative projects happening around the world and in our community, it's easy to lose sight of how and why these new technologies matter, and how they can be practically applied to your projects.
Machine learning has huge potential in conservation tech, and its applications are growing every day! But the tradeoff of that potential is a big learning curve - or so it seems to those starting out with this powerful tool!
To help you explore the potential of AI (and prepare for some of our upcoming AI-themed events!), we've compiled simple, key resources, conversations, and videos to highlight the possibilities:
Three Resources for Beginners:
- Everything I know about Machine Learning and Camera Traps, Dan Morris | Resource library, camera traps, machine learning
- Using Computer Vision to Protect Endangered Species, Kasim Rafiq | Machine learning, data analysis, big cats
- Resource: WildID | WildID
Three Forum Threads for Beginners:
- I made an open-source tool to help you sort camera trap images | Petar Gyurov, Camera Traps
- Batch / Automated Cloud Processing | Chris Nicolas, Acoustic Monitoring
- Looking for help with camera trapping for Jaguars: Software for species ID and database building | Carmina Gutierrez, AI for Conservation
Three Tutorials for Beginners:
- How do I get started using machine learning for my camera traps? | Sara Beery, Tech Tutors
- How do I train my first machine learning model? | Daniel Situnayake, Tech Tutors
- Big Data in Conservation | Dave Thau, Dan Morris, Sarah Davidson, Virtual Meetups
Want to know more about AI, or have your specific machine learning questions answered by experts in the WILDLABS community? Make sure you join the conversation in our AI for Conservation group!
- @hjayanto
- | He/Him
Your friendly Indo-Crocky-Croc
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- 29 Discussions
- 16 Groups
- @catwasp
- | She/her
- 0 Resources
- 0 Discussions
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Designer based in Denmark
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Sea Mammal Research Unit Univ' St Andrews
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- @HRees
- | Him/His
WILDLABS & Fauna & Flora
WILDLABS - Programme Development Manager, keen interest in bats, hyaenas and tech!
- 5 Resources
- 2 Discussions
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Electronics Engineer working in the development of smart conservation technology solutions.
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- @CathyNj
- | She
Catherine Njore is a seasoned Cartographer with over 17yrs experience and specializing in children cartography. She recently designed a Cartography: Fun with Maps Program(CFMP); a program that assists children to learn how to draw, read and use maps effectively.
- 1 Resources
- 10 Discussions
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- @bluevalhalla
- | he/him
BearID Project & Arm
Developing AI and IoT for wildlife
- 0 Resources
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- @carlybatist
- | she/her
Science Outreach Lead-Rainforest Connection (RFCx) & ArbimonEcoacoustics, biodiversity monitoring, primates, lemurs
- 69 Resources
- 284 Discussions
- 18 Groups
- @Adrien_Pajot
- | He/His
WILDLABS & Fauna & Flora
Hi! I am Adrien, a dedicated French ornithologist and engineer committed to biodiversity conservation. I joined the WILDLABS team as a project manager in October 2023!
- 13 Resources
- 55 Discussions
- 3 Groups
Addax Data Science
Wildlife ecologist with a special interest in machine learning
- 0 Resources
- 11 Discussions
- 2 Groups
- @BrunaTeixeira
- | She
Master and PhD student in the Postgraduate Program in Animal Biology. She works mainly in Landscape Ecology with an emphasis on bioacoustics and interactions between primates.
- 0 Resources
- 0 Discussions
- 2 Groups
€2,000 travel grants are available for researchers interested in insect monitoring using automated cameras and computer vision
3 May 2024
Save the Elephants is seeking a Principal Investigator for our Elephant Collective Behaviour Project. This role will spearhead research initiatives using cutting-edge video analysis tools to study elephant group...
1 May 2024
Article
Read in detail about how to use The Inventory, our new living directory of conservation technology tools, organisations, and R&D projects.
1 May 2024
Article
The Inventory is your one-stop shop for conservation technology tools, organisations, and R&D projects. Start contributing to it now!
1 May 2024
Technology to End the Sixth Mass Extinction. Salary: $132 - $160k; Location: Seattle WA; 7+ years of experience in hardware product development and manufacturing; View post for full job description
1 May 2024
Review by Professor Iain H Woodhouse
29 April 2024
Careers
The Smithsonian National Zoo & Conservation Biology Institute is seeking a Program Manager to help coordinate multiple organizations in an effort to integrate movement data & camera trap data with global...
22 April 2024
The Smithsonian National Zoo & Conservation Biology Institute is seeking a Postdoctoral Research Fellow to help us integrate movement data & camera trap data with global conservation policy.
22 April 2024
Join the Seeed Vision Challenge, an opportunity for conservation innovators to harness the power of AI vision sensors for environmental monitoring and protection.
10 April 2024
Full-Stack Software Developer (Python/React) - Specializing in AI/ML for Wildlife Conservation
5 April 2024
Article
Article from Ars Technica about how difficult it is to detect and avoid kangaroos...
3 April 2024
18 month postdoc research position, Netherlands, EU-funded
28 March 2024
May 2024
September 2024
event
October 2024
February 2024
December 2023
43 Products
Recently updated products
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Description | Activity | Replies | Groups | Updated |
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Hey everyone, I am super excited to share two announcements with the Community!🏆🌍 Our flagship Data4Good project - Mbaza AI... |
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AI for Conservation, Camera Traps | 11 months 2 weeks ago | |
That sounds like a really neat project! Do fish get re-caught often enough that individual ID is useful? Is sample bias (more data from popular spots) an issue? |
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AI for Conservation, Citizen Science, Software and Mobile Apps | 1 year ago | |
Hi everybody 👋🏽,I'm a UX designer, and I design interfaces and improve user experiences/flows. I would love to contribute to conservation... |
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AI for Conservation, Conservation Tech Training and Education, Emerging Tech, Human-Wildlife Conflict | 1 year ago | |
Thanks Bas! I'll look into SSD vs RCNNs, I'd never heard of an SSD. |
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AI for Conservation, Camera Traps | 1 year ago | |
greetings! i sent you a PM regarding this, feel free to contact me however is most convenient for you - regards,chris |
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Acoustics, AI for Conservation, Camera Traps, Climate Change, East Africa Community, Wildlife Crime | 1 year ago | |
I'm looking for any recommendations for any entry level/internship remote roles/companies in the United States that are focused in... |
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AI for Conservation, Conservation Tech Training and Education, Early Career, Remote Sensing & GIS | 1 year ago | |
Hi everyone! and thanks @StephODonnell for the invite :)I’m a software engineer working on MLOps, and currently studying for a part-time... |
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AI for Conservation, Open Source Solutions | 1 year ago | |
Indeed, I'll be there too! I like to meet new conservation friends with morning runs, so I will likely organize a couple of runs, maybe one right near the conference, and... |
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Acoustics, AI for Conservation, Autonomous Camera Traps for Insects, Camera Traps, Remote Sensing & GIS | 1 year 1 month ago | |
Hi everyone! The Fine Grained Visual Categorization Workshop (FGVC) is hosting its 10th rendition at CVPR this June in Vancouver. A huge... |
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AI for Conservation, Camera Traps, Marine Conservation | 1 year 1 month ago | |
Hi everyone,I'm new here :)I'm doing my thesis of biology bachelor about Rhino poaching. I wanted to ask here if yu have some articles... |
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AI for Conservation, Ending Wildlife Trafficking Online, Human-Wildlife Conflict, Wildlife Crime | 1 year 1 month ago | |
Yes please reach out with any questions on acoustic monitoring, Arbimon, RFCx, etc.! |
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Acoustics, AI for Conservation, Data management and processing tools | 1 year 1 month ago | |
I couldn't agree more with both of these comments tom! I'm reading hundreds (literally hundreds) of applications for open WILDLABS roles at the moment, and the ones that stand out... |
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AI for Conservation, Drones, Early Career, Sensors | 1 year 1 month ago |
Jupyter Notebook: Aquatic Computer Vision
25 January 2024 5:50am
27 January 2024 4:07am
This definitely seems like the community to do it. I was looking at the thread about wolf detection and it seems like people here are no strangers to image classification. A little overwhelming to be quite honest 😂
While it would be incredible to have a powerful model that was capable of auto-classifying everything right away and storing all the detected creatures & correlated sensor data straight into a database - I wonder if in remote cases where power (and therefore cpu bandwidth), data storage, and network connectivity is at a premium if it would be more valuable to just be able to highlight moments of interest for lab analysis later? OR if you do you have cellular connection, you could download just those moments of interest and not hours and hours of footage?
27 January 2024 6:11am
Am working on similar AI challenge at the moment. Hoping to translate my workflow to wolves in future if needed.
We all are little overstretched but it there is no pressing deadlines, it should be possible to explore building efficient model for object detection and looking at suitable hardware for running these model on the edge.
New paper - An integrated passive acoustic monitoring and deep learning pipeline for black-and-white ruffed lemurs in Ranomafana National Park, Madagascar
23 January 2024 4:08pm
19 February 2024 4:22pm
19 February 2024 5:46pm
Monitoring setup in the forest based on the wifi with 2.4 GHz frequency.
30 December 2023 4:39pm
18 January 2024 8:17pm
Hi Dilip,
I do not have data about signal distortion in a forest area and with the signal you are intended to use.
However, in a savannah environment, when I put a tour on the highest point of the park, Lora signal (avg 900MHz) is less distorted than WiFi signal (2.4GHz). This is normal as a physics law: the frequency determines the wave length, and the less the length (obviously the less the frequency), the less obstructed the signal.
So, without interfering with your design, I would say that in a forest configuration, WiFi will need more access points deployed and may be more costly, and in your context, even when using LoRa, you will need more gateways than I have in a savannah.
To design the approximate number of gateways, you may need to use terrain Visibility analysis.
To design the cameras deployment, you will need to comply with the sampling methods defined in your research. However, if it is on for surveillance reasons, you may need to rely on terrain visibility analysis also.
Best regards.
22 January 2024 6:22pm
I've got quite a lot of experience with wireless in forested areas and over long(ish) ranges.
Using a wifi mesh is totally possible, and it will work. You will likely not get great range between units. You will likely need to have your mesh be fairly adaptable as conditions change.
Wireless and forests interact in somewhat unpredictable ways it turns out. Generally, wireless is attenuated by water in the line-of-sight between stations. From the Wifi perspective, a tree is just a lot of water up in the air. Denser forest = more water = worse communications. LoRa @ 900Mhz is less prone to this issue than Wifi @ 2.4Ghz and way less prone than Wifi @ 5Ghz. But LoRa is also fairly low data rate. Streaming video via LoRa is possible with a lot of work, but video streaming is not at all what LoRa was build to do, and it does it quite poorly at best.
The real issue I see here is to do with power levels. CCTV, audio streaming, etc are high data rate activities. You may need quite a lot of power to run these systems effectively both for the initial data collection and then for the communications.
If you are planning to run mains power to each of these units, you may be better off running an ethernet cable as well. Alternatively, you can run "power line" networking, which has remarkably good bandwidth and gets you back down to a single twisted pair for power and communications.
If you are planning to run off batteries and/or solar, you may need a somewhat large power system to support your application?
23 January 2024 1:19am
I would recommend going with Ubiquity 2.4Ghz devices which have performed relatively well in dense foliage of the California Redwood forests. It took a lot of tweaking to find paths through the dense tree cover as mentioned in the previous posts.
A gentle introduction to computer vision-based specimen classification in ecological datasets
26 January 2024 2:20pm
26 January 2024 2:24pm
Using "motion extraction" for animal identification
16 January 2024 3:46pm
17 January 2024 2:54am
Hi Dhanu,
Our group moved to Wildlife Insights a few years back (for a few reasons but mostly ease of data upload/annotation by multiple users) so I haven't tried EcoAssist. This being said, I will look into it as a pre-WildlifeInsights filter to analyze the tens of thousands of images that get recorded when camera traps start to fail, or get confused with sun spots (which can be common at one of our sites, a south-facing slope with sparse canopy cover).
Thanks for sharing!
17 January 2024 5:16am
You are most welcome.
I can only highly recommend joining the online events! They are really inspiring.
- and it is great to "meet" and chat with fellow WildLabbers during the "after hours".
17 January 2024 4:22pm
Very nice video in the link you posted btw:
Here is another less artistic one:
Salesforce Accelerator: AI for Climate
16 January 2024 10:15am
Two year postdoc - Machine Learning & Bioacoustics
16 January 2024 7:49am
Wildlife Conservation for "Dummies"
9 January 2024 10:02pm
10 January 2024 11:24pm
Maybe this is obvious, but maybe it's so obvious that you could easily forget to include this in your list of recommendations: encourage them to hang out here on WILDLABS! I say that in all seriousness: if you get some great responses here and compile them into a list, it would be easy to forget the fact that you came to WILDLABS to get those responses.
I get questions like this frequently, and my recommended entry points are always (1) attend the WILDLABS Variety Hour series, (2) lurk on WILDLABS.net, and (3) if they express a specific interest in AI, lurk on the AI for Conservation Slack.
I usually also recommend that folks visit the Work on Climate Slack and - if they live in a major city - to attend one of the in-person Work on Climate events. You'll see relatively little conservation talk there, but conservation tech is just a small subset of sustainability tech, and for a new person in the field, if they're interested in environmental sustainability, even if they're a bit more interested in conservation than in other aspects of sustainability, the sheer number of opportunities in non-conservation-related climate tech may help them get their hands dirty more quickly than in conservation specifically, especially if they're looking to make a full-time career transition. But of course, I'd rather have everyone working on conservation!
13 January 2024 3:14am
Some good overview papers I'd recommend include:
- Besson, M., Alison, J., Bjerge, K., Gorochowski, T. E., Høye, T. T., Jucker, T., ... & Clements, C. F. (2022). Towards the fully automated monitoring of ecological communities. Ecology Letters, 25(12), 2753-2775.
- Speaker, T., O'Donnell, S., Wittemyer, G., Bruyere, B., Loucks, C., Dancer, A., ... & Solomon, J. (2022). A global community‐sourced assessment of the state of conservation technology. Conservation Biology, 36(3), e13871.
- WILDLABS-led research! Led by @TaliaSpeaker and @StephODonnell
- Lahoz-Monfort, J. J., & Magrath, M. J. (2021). A comprehensive overview of technologies for species and habitat monitoring and conservation. BioScience, 71(10), 1038-1062.
- Tuia, D., Kellenberger, B., Beery, S., Costelloe, B. R., Zuffi, S., Risse, B., ... & Berger-Wolf, T. (2022). Perspectives in machine learning for wildlife conservation. Nature communications, 13(1), 792.
- Stowell, D. (2022). Computational bioacoustics with deep learning: a review and roadmap. PeerJ, 10, e13152.
- I'm biased towards bioacoustics because that's what I focus on, but this regardless this is an excellent horizon scan of AI/ML for conservation and acoustics!
- Borowiec, M. L., Dikow, R. B., Frandsen, P. B., McKeeken, A., Valentini, G., & White, A. E. (2022). Deep learning as a tool for ecology and evolution. Methods in Ecology and Evolution, 13(8), 1640-1660.
I'd also encourage you to follow the #tech4wildlife hashtags on social media!
15 January 2024 4:27pm
I'm also here for this. This is my first comment... I've been lurking for a while.
I have 20 years of professional knowledge in design, with the bulk of that being software design. I also have a keen interest in wildlife. I've never really combined the two; and I'm starting to feel like that is a waste. I have a lot to contribute. The loss of biodiversity is terrifying me. So I’m making a plan that in 2024 I’m going to combine both.
However, if I’m honest with you – I struggle with where to start. There are such vast amounts of information out there I find myself jumping all over the place. A lot of it is highly scientific, which is great – but I do not have a science background.
As suggested by the post title.. a “Wildlife Conservation for Dummies” would be exactly what I am looking for. Because in this case I’m happy to admit I am a complete dummy.
Application of a deep learning image classifier for identification of Amazonian fishes
11 January 2024 8:24pm
HWC Tech Challenge update 2020
SDZWA Conservation Tech Summer Fellowship
9 January 2024 7:04pm
Presentation opportunity: Text analysis for conservation (NACCB 2024)
8 January 2024 4:05pm
Tranforming Conservation Together: Highlights from the 2023 EarthRanger User Conference
2 January 2024 10:11pm
10 January 2024 5:23am
14 January 2024 3:06am
15 January 2024 9:54pm
AI to operate Wildlife Passage Gates
11 December 2023 4:17pm
22 December 2023 2:02pm
In this case, I would use BLE proximity - enough and accurate range, low cost, long battery life, no false positives - KISS ;)
22 December 2023 2:25pm
Aaah, this article suggests that RFID can be used for much greater distances so looks like RFID still remains the best choice.
22 December 2023 4:20pm
BTW. I found out that the Jetson Orin NX 16GB module is drawing around 20W when running continuous inference, processing streams from 6x cameras at 6 fps.
I'll try and find out what you can do with a Pi 5 and a smaller model over Christmas.
Semi-automated prediction of behavioral states in wild understudied King vultures (Sarcoramphus papa)
20 December 2023 1:34pm
For the current e-obs newsletter, Chris Beirne and I have summarized our previous work on the annotation of King vultures in Costa Rica.
Hydromoth for coastal & offshore surveying
16 November 2023 7:36am
18 November 2023 1:47am
Hi Sol,
I think your concern is well placed. The pros typically tow an array of hydrophones, in its simpler configuration it looks like a long fat rubber hose containing maybe a dozen transducers feeding their electrical signals to a recording unit back on the ship. All this is done to reduce noise from the ship, from waves crashing, and flow noise. The multiple transducers can also be electronically tuned to be directional so that it can be "pointed" away from a noise source (like the ship).
In your position, I would just try the simplest thing that could work, then fix the problems as they arise. It could be you may need to be dead in the water while recording. To address surface noise (slapping waves, wind), you could mount the hydromoth low down on a spar buoy, which you tow into position.
Best of luck, it sounds like an interesting project (c:
19 December 2023 2:20pm
Hydromoths are great for the price but they do not have the most streamlined housing and audio quality won't be as good as something like a SoundTrap or really any recorder with a proper hydrophone and 16-bit +DAQ system.
If you can afford it, this is an excellent SoundTrap based towed autonomous system NOAA have been using. It might work towed behind an autonomous vehicle
Alternatively, if you can have something inside the vehicle, a simple tape recorder (e.g. Tascam DR40X) and hydrophone on cable will provide excellent sound quality. You could also use something like a Raspberry Pi with audio focussed ADC hat to record but that would require a bit more programming. Even consider a standard AudioMoth and plug a proper hydrophone into the audio jack - this would still have a 12-bit ADC but would provide better sound quality than a hydromoth (hydrophones are more omnidirectional and there's no air filled causing reflections and attenuation)
20 December 2023 6:57am
If you are considering an external microphone and a towed system, then you would also be in a position to consider a raspberry pi with an external microphone with sbts-aru. Another option:
13th International Conference on Climate Informatics
18 December 2023 12:20pm
Grant for AI for biodiversity workshops (Latin America-Germany cooperations)
16 December 2023 6:27am
19 December 2023 2:55pm
How polar bears and people are kept safe thanks to integrated video and radar system
15 December 2023 12:22pm
Milestones Systems and Polar Bear International present their test of bear-dar in Churchill in the this Youtube video:
https://www.youtube.com/watch?v=WiXAHYCA99M
Bear-dar: Updates from the Field
15 December 2023 11:58am
Polar Bear International chat about bear-dar and burr on fur in this video on Youtube
https://www.youtube.com/watch?v=AfL42Wqctkk
Update on SEE Shell App to identify illegal tortoiseshell products
14 December 2023 10:00pm
Come for the trees and geese, stay for the AI: using computer vision for urban forestry and wildlife monitoring
13 December 2023 5:58pm
Benchmarking behavior classification of bio-logger data
13 December 2023 5:44pm
Benjamin Hoffman is a Senior AI Research Scientist with Earth Species Project, and joined last Variety Hour to talk us through his work to explore using self supervision to detect behavioral patterns in raw sensor data. Learn more!
Project support officer - Conservation Tech
11 December 2023 10:24pm
Data Viz Inspo for the Holidays
11 December 2023 8:42pm
Is anyone or platform supporting ML for camera trap video processing (id-ing jaguar)?
27 November 2023 10:49am
7 December 2023 12:42pm
Hey there community! Im new here and looking after lots of answers too! ;-)
We are searching aswell for the most ideal App / AI technology to ID different cats, but also other mammals if possible
- Panthera onca
- Leopardus wiedii
- Leopardus pardalis
and if possible:
- Puma concolor
- Puma yagouaroundi
- Leopardus colocolo
- Tapirus terrestris
Every recommendation is very welcome, thanks!
Sam
7 December 2023 2:31pm
Is this from camera trap images? Videos? Wildlife Insights is great! It uses Megadetector as a first pass to filter out empty images (those without animals), which you can also just use on its own. If you want to do individual re-ID, you can use Wildme. And as I mentioned previously in the comments, Zamba Cloud can work with videos. Conservation AI is another player in the game as well.
11 December 2023 1:38pm
Also, take a look at TrapTagger. It has integration with WildMe.
Trailguard AI cameras used for reducing human-wildlife conflict in India
9 December 2023 10:56pm
Two-year postdoc in AI and remote sensing for citizen-science pollinator monitoring
4 December 2023 12:21pm
WILDLABS Awards 2024: Supporting accessible, affordable, and effective innovation for nature
1 December 2023 11:00am
AI Earth: Using AI to tackle Climate Change
27 November 2023 10:16am
26 January 2024 1:46pm
This is quite interesting. Would love to see if we could improve this code using custom models and alternative ways of processing the video stream.