Vision & voice
Build computer vision and voice systems that turn perception into action.
Classify camera images, understand speech and turn the result into data, alerts or physical actions.
Perception becomes useful when it changes what happens next
A camera or microphone produces raw material, not a decision. The system must capture the relevant sample, interpret it with the appropriate model and turn the result into information the rest of the project can use. Only then can it update an interface, save a record or trigger a physical response.
Vento connects that perception path with the data, devices and automations around it. You can test the model with real inputs, inspect the structured result and adjust what the system does when a person speaks or the camera detects something.
From perception to action
- 01Camera or audio
- 02Vision or speech model
- 03Structured result
- 04Interface, data or action
Give your system eyes, ears and a voice.
Three steps, from a camera or audio input to a response the system can use.
Real projects
Systems built with Vento
The need
« I want the camera to recognize each bottle and the machine to sort it »
Bottle sorting with computer vision
Vento connects a camera, a vision model running on a Jetson and a servo motor to classify each bottle locally and divert it to one of three exits.
See the project
The need
« I want to ask for a part and have the workshop show me where it is »
AI workshop assistant
Ask for a part by voice and the assistant searches the real inventory, replies through its speaker and screen, and lights the correct shelf. The same search is also available through Telegram.
See the projectFAQ
Questions about vision and voice
How cameras, microphones and AI can become part of an operational system.
Can Vento work with cameras and microphones?
Yes. Vento can connect a compatible camera or audio source, process its input with a vision or speech integration and make the structured result available to the rest of the project. The exact connection depends on the hardware and model used.
What can happen after the system sees or hears something?
The result can update a dashboard, save a record, send an alert, start an automation or control a connected device. Vento links perception to the data and actions that give it a useful outcome.
Can computer vision run locally?
Yes, when the project uses suitable local hardware and a compatible model. Local processing can keep the physical response close to the camera, while hosted services provide other managed capabilities. Vento Agent can help choose the path for the project.
Go build: Vision & voice.
Try asking Vento
Go build: Vision & voice.
Describe it, Vento builds it.
Build a camera system that classifies objects and keeps a live count of each type
- Build a voice inventory assistant that finds an item and lights the correct shelf
- Build an audio-processing system that transcribes, detects language and timestamps every recording