The learning model is created independently! We will introduce examples of AI solutions for edge devices.
We have built an application system using Deep Learning that operates on a Raspberry Pi 3 as a proposal for AI solutions for edge devices. At Embedded Technology West 2019 / the Kansai Embedded Technology Exhibition, we conducted a demo using a depth measurement camera to simulate FaceID running on embedded devices. Anticipating various future needs and versatility, we created our own learning model from a Deep Learning framework without using existing pre-trained models. This allows for flexible responses to various edge devices. The AI solutions proposed by Bee Co., Ltd. can flexibly accommodate various edge devices. We provide everything from support for the edge devices envisioned by our customers to the selection of devices and idea proposals for services, as well as the embedded technology to control these devices and operational support. *For more details, please refer to the PDF materials or feel free to contact us.
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【System Contents】 ■Intel Realsense ・Equipped with a depth camera, RGB sensor, and IR projector ・Utilizes RGB + depth information to accurately capture facial data ■Raspberry Pi3 ・For embedded use, keeps the learning model data locally, achieving operation entirely locally ■PyTorch ・Open-source machine learning library for Python ・Uses a Siamese Network for the architecture ■Data Set ・The training data uses a dataset of various people captured from different angles and expressions ■PyQt4 ・Used for creating the GUI ■AWS ・The learning model is trained on AWS GPU instances ・Uses p3.2xlarge on Amazon EC2 P3 instances *For more details, please refer to the PDF document or feel free to contact us.
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For more details, please refer to the PDF document or feel free to contact us.
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At Bee, we handle not only embedded software development but also the development of associated applications and cloud/AI solutions in a comprehensive manner, following innovative technologies that are not confined to traditional embedded software frameworks. We are certified under the information security management system standard "ISO/IEC 27001:2013" in customer requirements as well as in the design, development, and maintenance of our proprietary software. Furthermore, while "DX transformation" is being emphasized in recent times, we have achieved paperless and cloud-based operations since our founding in 2006, considering improvements in both information security and the internal environment as standard practice.
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