Reducing processing load using transfer learning and learning models! A case of achieving automatic recipe suggestions.
The customer had the challenge of wanting to implement image recognition technology that recognizes ingredients with a camera and suggests recipes linked to the dishes after correctly identifying the ingredients. In implementing the image recognition technology, it was necessary to accurately recognize the materials with the camera, and to reduce processing load for operation on small PCs like Raspberry Pi, transfer learning and a learning model (mobilenet) were utilized. In the recognition of work processes, the status of work at each stage was recognized by the camera, allowing for the identification of how far along the process is and what the next step is, as well as implementing follow-up to the next stage. Additionally, there are examples of achieving product control through gestures. For more details, please refer to the related links below. [Case Overview (Partial)] ■ Client Industry: Electronics ■ Service Line: Technology / IoT *For more details, please refer to the PDF document or feel free to contact us.
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【Summary of Other Cases】 <Customer Challenges> ■ Concept Proposal: A - Implement image recognition technology to identify ingredients using a camera, and after correctly recognizing the ingredients, propose recipes linked to the dishes. ■ Concept Proposal: B - Control various products through gesture recognition. <Support Content and Results> ■ Realization of "Concept Proposal: A" - Achieved processing load reduction using transfer learning and a learning model (mobilenet). - In work process recognition, enabled the camera to recognize the work status at each stage, identify how far along the process is, and what the next stage is, including follow-up to the next stage. ■ Realization of "Concept Proposal: B" - Improved recognition accuracy through image recognition technology + machine learning (excluding the influence of ambient light). - Processed image recognition and weight sensor information on the device side, integrated the information with the cloud for app connectivity, and established a system that allows users to control it. *For more details, please refer to the PDF document or feel free to contact us.
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Pactera Technology Japan is a member of the Pactera Group, which has numerous locations globally and provides digital consulting and technology services to clients. Leveraging a wealth of cutting-edge technology, we are strongly promoting the construction of systems that are organically combined with a hybrid application development framework for clients across various industries, including finance, manufacturing, and telecommunications. Currently, we are focusing our investments and enhancements in the Asia-Pacific region as a strategic area for the group, particularly in fields such as digital development, IoT solutions, and Fintech. Additionally, Pactera offers outsourced development services provided by professionals well-versed in the manufacturing industry, as well as various products and solutions aimed at improving the operations of those in the manufacturing sector.