AI Software Development



We ask for the customer's requirements and develop the software. Software development includes application development using AI models as well as image processing-related software development, and we will work with the development team to speed up and optimize the software as requested.
Image Recognition Software Development

We support software development, feasibility studies, and software performance improvement related to image recognition.

1. Feasibility Study Support
We will conduct functional implementation and performance evaluation using open source software and other publicly available programs for the functions and algorithms we wish to implement.
2. Software Performance Improvement Support
We will improve recognition rates and processing speed by improving current image recognition algorithms, and improve processing time and reliability by improving current program implementations.

Upon request, we aim to improve performance beyond the boundaries of existing implementations, including the use of specialized hardware.


Development Achievements

1. Application development for use in systems with multiple sensors, such as image sensors.
2. Development of an evaluation platform for image processing models.
3. Improve performance of customer's flameworks through testing and enhancements.


We have experience in developing many other systems.

Major Development Environment Achievements

Operating System Windows / Linux
Development Languages Python / C / C++
Frameworks PyTorch / TensorFlow / OpenVINO / ROS2 / OpenGL / Docker

AI Software Development

We start by investigating and evaluating models that meet our objectives, and then proceed with weight and speed reductions in consideration of evaluation values such as accuracy and speed.
We work while sharing the progress and results of our work with our clients.

Supports quantization and pruning of ML/DL models to reduce weight and speed up the process, depending on hardware limitations.
We will propose the best machine learning framework for customer's functionality and requirements.
We also support middleware development, library maintenance, etc. upon request.


Development Achievements

1. Construction of an appearance inspection model.
2. Development of a system using ML/DL and ROS.
3. Investigate and prototype application of streaming technology effective for R&D in the AI domain.
4. Develop simulation applications suitable for R&D.


We have experience in developing many other systems.

Major Development Environment Achievements

Operating System Windows / Linux
Development Languages Python / C / C++
Frameworks/Libraries PyTorch / TensorFlow / OpenVINO / ROS1/2 / GStreamer / Docker

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