Aizip Intelligent Vision

This model can detect a package or packages in an image, which can be used in smart door bells or package processing.

This compact and efficient model can run on ARM Cortex M4 and up processors, or comparable RISC-V, NPU, DSP, and FPGA devices.

This model can be modifed to detect other objects, such as a person or a pet. It can further be extended to counting and tracking applications.

This model can detect and recognize a person’s face to decide whether the person is registered or not with the system.

This economic and effective solution can run on ARM Cortex M4 and up processors, or comparable RISC-V, NPU, DSP, and FPGA devices.

This model can be modified to recognize pets, such as dogs and cats, for the automated control of pet-doors.

This model can detect and understand letters and numbers on vehicle license plates for entrance and departure control.

This efficient and effective model can run on ARM Cortex M4 and up processors, or comparable RISC-V, NPU, DSP, and FPGA devices.

This model can be extended to recognize characters of other items, such as street signs and package labels.

This robust and adaptable model can detect anomalies and identify a defect location in an image of a product on production lines.

This foundation model requires processors with ARM Cortex A7 and up for operation, or comparable RISC-V, NPU, DSP, and FPGA devices.

The general model can be used off-the-shelf and only requires a limited amount of non-defect data for registration.

These are a few select examples. More available upon request.