Ambarella
AMBARELLA · EDGE AI

Your device.A model built for it.

peoly develops and adapts computer-vision models for devices built on selected Ambarella processors, including CV25 and CV75. We optimize models for the target hardware and integrate them into the device’s software environment.

Concept illustration of camera hardware processing a video sequence into searchable insights.
AMBARELLA

One processor family. Different device manufacturers.

Ambarella develops processors for image processing, video and on-device AI. These processors are used in cameras and other embedded systems from different manufacturers. We scope our engineering work around the processor, software environment and specific task.

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CV75 · MOBILEVICLIP

Beyond object detection

Bring video intelligence to the edge.

Our MobileViCLIP implementation runs on the Ambarella CV75 camera accelerator, turning short video sequences into compact semantic embeddings.

This opens the door to natural-language video search, similar-event retrieval and custom activity recognition.

Combined with conventional detection and tracking, it provides a foundation for analytics that consider both objects and activity over time.

Natural-language video search

Find relevant video sequences using a description of what you are looking for.

Similar-event retrieval

Compare video sequences to find events with similar meaning or activity.

Custom activity recognition

Develop and validate recognition of activities specific to your operation.

Explore a pilot tailored to your cameras, footage and use case.

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CUSTOM AI ENGINEERING

From a model to a working application

01

Model and data

Develop detection, classification or tracking around your use case. Connect data preparation, training and model evaluation.

02

Hardware optimization

Adapt the model to the target processor, including conversion, quantization and validation of on-device inference.

03

Integration and validation

Integrate the model into the device software and connect the outputs you need. Validate accuracy, response time and the complete workflow on the target hardware.

  1. Task and data
  2. Model and optimization
  3. Device integration

Let’s discuss your device.

Share the manufacturer, device model, Ambarella chip and intended use case. Details about the SDK and software environment help us identify a useful next step.

Discuss your device ↗