The learning model is built from scratch on AWS! We provide our technology and ideas.
We have built an application system using Deep Learning that operates on a Raspberry Pi3 as a proposal for AI solutions for edge devices. At Embedded Technology 2016 / Comprehensive Embedded Technology Exhibition, we conducted a technical demo of a blood type determination app using PiCamera. Anticipating various future needs and versatility, we created it from scratch on AWS using a Deep Learning framework without using existing pre-trained models. We provide technologies and ideas that can flexibly adapt to and control the embedded devices envisioned by our customers. *For more details, please refer to the PDF materials or feel free to contact us.
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basic information
【System Contents】 ■dlib ・Face recognition library ・Used for extraction from material data (face photos) ■chainer ・Deep Learning framework ・Chose chainer for its ease of use and simplicity ■AWS ・Training models are trained on AWS GPU instances ・Using p2.xlarge on Amazon EC2 P2 instances ■PyQt4 ・Used for creating GUI ■PiCamera ・Camera library for Pi ・Used for camera shooting on the device ■Anaconda3-4.0/Miniconda3.4 ・Pytorch distribution ・For Raspberry Pi 3, configured minimally with Miniconda ■Raspberry Pi 3/Raspbian ・Keeps the training model locally and achieves all operations locally *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, embracing innovative technologies that go beyond the traditional boundaries of embedded software. 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 currently emphasized, we have been achieving paperless and cloud-based solutions since our founding in 2006, making improvements to our internal environment a standard practice, not just in terms of information security.