Voice-Controlled Projection System Using Cloud NLP
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Solution Overview
Problem
Existing projector control methods require manual operation using remote controls or human-computer interfaces, making them inconvenient for users.
Innovation Solution
A projection system that includes a terminal device, a projection device, a cloud server, and a natural language model, allowing users to input voice instructions that are recognized and converted into standard instructions to control the projector.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual operation using remote control or human-computer interface is used, then the projector can be controlled, but the ease of operation deteriorates due to inconvenient user interaction
Solution Approach 1:
The patent replaces the mechanical remote control system with an acoustic field-based voice recognition system. The control terminal device captures voice instructions through acoustic waves, converts them to text via speech recognition, and transmits control commands wirelessly to the projector, eliminating the need for physical remote control operations.
Solution Approach 2:
The patent introduces a control terminal device as an intermediary between the user and the projector. This intermediary captures voice instructions, processes them through speech recognition and natural language understanding, and converts them into standardized control commands, serving as a mediator that simplifies user interaction while maintaining system control capabilities.
2Ease of operation
If voice control is implemented, then the ease of operation improves, but the device complexity increases due to additional components like microphones and processing units
Solution Approach 1:
The patent divides the voice control functionality into separate modular components: the control terminal device handles voice capture and speech recognition, the cloud server performs natural language understanding and command generation, and the projector executes the control commands. This segmentation allows each component to specialize in specific functions, reducing individual device complexity while enabling sophisticated voice control capabilities.
Solution Approach 2:
The control terminal device serves multiple functions: it acts as a voice capture device, speech recognition engine, natural language processor, and wireless communication device. By consolidating these functions into a universal control terminal, the system avoids duplicating complex functionality across multiple devices, thereby managing overall system complexity.
3Measurement precision
If cloud-based natural language processing is used, then the accuracy of voice recognition improves, but the response time deteriorates due to network communication delays
Solution Approach 1:
The patent pre-trains the natural language understanding model with extensive projector control knowledge and operation manuals before deployment. This preliminary action enables the model to rapidly interpret voice commands with high accuracy without requiring extensive real-time computation, thereby reducing response time while maintaining precision.
Solution Approach 2:
The system skips unnecessary intermediate processing steps by directly matching recognized speech against pre-defined control command templates. When a voice instruction matches a known command pattern, the system immediately generates the corresponding control signal without exhaustive analysis, significantly accelerating the response time for common operations.
Data Source
AI summary
The disclosure provides a projection system, a terminal device, a projection device, and a control method thereof. The control method includes the following steps: sending an original instruction to a cloud server through the terminal device; inputting the original instruction into a natural language model through the cloud server; in response to the original instruction corresponding to the operation of the projection device, generating a standard instruction according to the original instruction through the natural language model and receiving the standard instruction through the cloud server to control the projection device according to the standard instruction; and in response to the original instruction not corresponding to the operation of the projection device, generating feedback information according to the original instruction through the natural language model and sending the feedback information to at least one of the terminal device and the projection device through the cloud server.