Electronic Content Metadata Enrichment Using Nearby IoT Sensors
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Solution Overview
Problem
Contemporary electronic devices typically capture images and audio without providing sufficient environmental data, making it difficult for users to recreate the conditions of the captured content.
Innovation Solution
A computer-based process determines environmental parameters of generated content and appends these parameters as metadata, utilizing nearby IoT sensors to retrieve relevant information such as light levels, temperature, and blind settings, which are then associated with the content for sharing and recreation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If contemporary electronic devices capture images and audio, then content generation is easy and quick, but environmental information is insufficient
Solution Approach 1:
The patent introduces an intermediary system consisting of a server and cloud-based processing infrastructure that mediates between the simple content-capturing electronic devices and the complex task of environmental parameter retrieval. The server acts as a mediator that receives content from devices, automatically queries IoT sensors for environmental data, and appends parameters without requiring complexity in the original content-generating devices
Solution Approach 2:
The system implements a universal platform that handles multiple functions: content reception, environmental parameter querying across diverse IoT devices, data correlation, and metadata generation. This multi-functional server system can work with any electronic device that captures content and any type of IoT sensor, creating a universal solution that avoids adding complexity to individual devices
2Adaptability or versatility
If environmental parameters are appended to content, then users can recreate conditions, but data processing complexity increases
Solution Approach 1:
The system performs preliminary actions by automatically querying and retrieving environmental parameters from IoT sensors before the content is fully processed or shared. The server proactively gathers temperature, humidity, light, and other environmental data in advance, so that when content is received, the environmental context is already available for appending, reducing the complexity of real-time processing
Solution Approach 2:
The system implements self-service by having the server automatically query IoT sensors, retrieve environmental parameters, and append them to content without requiring manual user input or complex user-side processing. The server serves itself by autonomously gathering and correlating data from multiple sources and generating the parameter metadata
3Loss of information
If IoT sensors are queried for parameters, then environmental data is obtained, but network communication requirements increase
Solution Approach 1:
The system applies partial action by selectively querying only the IoT sensors and parameters that are relevant to the specific content being processed. Rather than continuously querying all sensors, the server determines which environmental parameters are needed based on the content type and queries only those specific sensors, reducing unnecessary network communication and energy consumption
Data Source
AI summary
Systems and methods for determining parameters of devices that may have influenced generated content, and appending values of these parameters to the generated content for the benefit of other users. Devices near the location at which the content was generated may be selected, and parameters of these devices may be retrieved. These device parameters are often relevant to the generated content. Accordingly, the retrieved parameter values may be appended to the generated content for transmission along with the content. In this manner, other users may view both the content and the parameters of nearby devices that may have influenced the setting of the content, assisting users in, for example, recreating the content or its subject matter for themselves.