Low latency
The robot decides on the spot, with no round trip to the cloud.
Robotics in the AUGEVI ecosystem
Robots that see and decide in real time.
We build the eyes and brain of your robot: computer vision models that run on the robot itself, on NVIDIA Jetson, not in the cloud. They work on AMRs, arms and cobots.
Robotics is the AUGEVI line that builds computer vision for robots: models that run on the robot itself on NVIDIA Jetson (Edge AI), without relying on the cloud, for AMRs, arms and cobots. It applies to warehouse picking and sorting, production-line quality inspection and label and code reading.
Edge AI
Why Edge AI
No stable internet needed
Vision keeps working even if the connection drops.
Video stays on site
Images from your plant are processed locally, for privacy.
Lower cloud cost
You do not stream continuous video out to process it.
Use cases
Where it applies
Warehouse picking and sorting
The robot identifies and separates products with local vision.
Production-line quality inspection
Defect detection directly on the equipment that inspects.
Counting and reading labels and codes
Part counting and label and code reading with Edge AI.
Process
How we build it
- 01
Data capture
We gather images and video from your real operation.
- 02
Model training
We train and validate the model with that data.
- 03
Deployment on Jetson
We optimize the model and install it on the robot.
- 04
Monitoring
We track its performance and tune it with new data.
Ecosystem
What it builds on
Robot vision is built on two AUGEVI products.
Awerax
Computer vision: the models that see.
View product →Iotsmart
Edge devices and their data.
View product →Frequently asked questions
What people ask us before getting started
What is AUGEVI robot vision?+
We build the eyes and brain of your robot: computer vision models that run on the robot itself, on NVIDIA Jetson, not in the cloud. They work on AMRs, arms and cobots.
Why Edge AI instead of the cloud?+
For low latency, because the robot decides on the spot. Also because vision keeps working without stable internet, video from your plant is processed locally and you do not stream continuous video to the cloud.
Where does it apply?+
In warehouse picking and sorting, production-line quality inspection, and counting and reading labels and codes.
How do you build it?+
In four steps: capturing data from your real operation, training and validating the model, optimized deployment on Jetson inside the robot, and monitoring with adjustments from new data. It builds on Awerax for the vision models and Iotsmart for Edge devices.
How much does it cost and how do I start?+
Cost depends on scope, so we do not publish a fixed price. The technical and commercial proposal is defined after diagnosing your operation, and we start that conversation in the first session. Book a 20-minute session. We review your case and tell you whether this approach is the right path or whether another route suits you better. Tell us what your robot needs to see in the warehouse or production line.
Does your robot need to see better?
Tell us what your robot must see in your warehouse or production line and we will review together how to solve it with Edge AI.