Real-time, Scalable Deep Learning Inference on the Edge Using Emotional AI & its applications

Computer Vision on the Edge

About us

Hummingbirds.Ai was founded in 2019 in Seattle, WA, and has been providing proprietary  computer vision tools on the Edge of the network.


In the first phase, we designed image recognition tools that can be executed on low-power devices rather than relying on the cloud for decision making.

Blog Posts

Hummingbirds.Ai’s computer vision solutions can be used in life sciences, medicine, home security, self-driving vehicles & insurance.

about Us

Hi there!

We’re, a startup focused on Ai-enabled computer vision on the Edge. This means we provide machine learning solutions for computer vision that are very light weight, they can work without the need to the internet connection, they don’t need the cloud for decision making, and they have applications from security to agriculture. 

What WE blog about

Blog Topics

Computer Vision


Life Sciences

Edge Processing


Follow along the journey

Follow us on social and never miss a post from this blog. Only original content and minimalist views, shared weekly on social.

2 test & 1 final version #drones that look promising
cc @Hana_ElSayyed @Ronald_vanLoon @PawlowskiMario @FrRonconi @CelineDarnet_ @alvinfoo @kashthefuturist @enricomolinari @ShiCooks @antgrasso @gigastacey @MHcommunicate @mvollmer1 @Julez_Norton @KenLittle

Hello world in 7 languages:

print(‘Hello world’);

int main() { std::cout << “Hello world”; return 0; }

console.log(‘Hello world’);

println(“Hello, world”)

echo “Hello world”

(print “Hello world”)

<?php echo “Hello world”; ?>

Our new technology calculates the probability of a detected face matching with a face from the database in real-time on the edge. #FacialRecognition #objectdetection #computervision #PyTorch #ArtificialIntelligence #ipcamera #belbic

What is #edgecomputing? The edge nodes are #IoT devices which use local computing power to perform the real-time computation, such as for reliability monitoring, and prediction. It’s in contrast to #cloudcomputing.

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