18281593. ELECTRONIC DEVICE simplified abstract (SEMICONDUCTOR ENERGY LABORATORY CO., LTD.)
Contents
- 1 ELECTRONIC DEVICE
ELECTRONIC DEVICE
Organization Name
SEMICONDUCTOR ENERGY LABORATORY CO., LTD.
Inventor(s)
Junpei Momo of Sagamihara (JP)
ELECTRONIC DEVICE - A simplified explanation of the abstract
This abstract first appeared for US patent application 18281593 titled 'ELECTRONIC DEVICE
Simplified Explanation
The electronic device described in the patent application is a contactless operated device with a display portion, processing portion, and memory portion. The display portion includes a light-emitting device and a light-receiving device for displaying and capturing images. The memory portion contains a machine learning model using a neural network, while the processing portion infers position data of objects not in contact with the device using the machine learning model from captured image data.
- Display portion with light-emitting and light-receiving devices
- Memory portion with machine learning model using a neural network
- Processing portion infers position data of objects not in contact with the device
Potential Applications
This technology could be applied in various industries such as healthcare, retail, and security for contactless operation and object detection.
Problems Solved
This technology solves the problem of contactless operation and accurate object detection without physical interaction.
Benefits
The benefits of this technology include improved hygiene, convenience, and accuracy in object detection without the need for physical contact.
Potential Commercial Applications
One potential commercial application of this technology could be in retail stores for contactless payment systems and inventory management.
Possible Prior Art
One possible prior art for this technology could be contactless payment systems using RFID technology.
Unanswered Questions
This technology may raise privacy concerns regarding the capturing and inferring of position data of objects not in contact with the device. Implementing strict data protection measures and obtaining user consent could address these concerns.
What are the limitations of the machine learning model in inferring position data accurately?
The accuracy of the machine learning model in inferring position data may be affected by factors such as lighting conditions, object size, and background clutter. Further research and development may be needed to improve the model's accuracy in various environments.
Original Abstract Submitted
Provided is an electronic device that can be operated without contact. The electronic device includes a display portion, a processing portion, and a memory portion. The display portion includes a display apparatus including a light-emitting device and a light-receiving device. The display portion has a function of displaying an image using the light-emitting device and a function of capturing an image using the light-receiving device. The memory portion has a machine learning model using a neural network. The processing portion has a function of inferring position data of an object not in contact with the electronic device using the machine learning model from image capturing data captured by the display portion.
