SIGN LANGUAGE TRANSLATOR|CMRCET CEER|#CEER|#Avishkar|#Projects|#Engineering|#cmrcet|#Research

Summary

The presentation introduces a Sign Language Translator designed to bridge communication gaps for people with disabilities. The team highlights challenges faced by non-speaking individuals and limitations of existing solutions like mobile apps and camera-based systems, which often lack accuracy and portability. Their device uses flex sensors to detect hand movements, converting electrical signals into text displayed on an LED screen. The microcontroller processes these signals for real-time translation. The team also envisions future enhancements using Raspberry Pi, advanced AI models, and camera integration, aiming for higher accuracy and broader applicability, making communication more accessible and efficient for users.

Takeaways

• 😀 The presentation focuses on a Sign Language Translator device designed to assist people with communication difficulties.
• 😀 People with disabilities often struggle to communicate because not everyone understands sign language.
• 😀 Existing solutions like camera-based recognition modules and mobile applications have limitations in accuracy and portability.
• 😀 Mobile applications can be unreliable due to the lack of standardized gestures.
• 😀 Camera-based systems are bulky and not easily portable.
• 😀 The proposed device uses flex sensors to detect hand bending gestures.
• 😀 Flex sensors convert bending movements into electrical signals.
• 😀 A microcontroller processes these electrical signals and converts them into text.
• 😀 The translated text is displayed on an LED or LCD screen for easy reading.
• 😀 Future advancements include integrating Raspberry Pi, camera systems, and AI models for higher accuracy and extended functionality.
• 😀 The project aims to provide a portable, reliable, and user-friendly solution for translating sign language.

Q & A

What is the main issue addressed by the Sign Language Translator project?

The main issue addressed is the difficulty faced by people with disabilities in communicating with others, specifically through sign language, which is often not understood by non-sign language users.

How does the existing sign language recognition solutions fail?

Existing solutions, such as mobile applications and camera-based recognition systems, often lack reliability. Mobile apps don’t offer formal gesture recognition, and camera systems are not accurate, particularly with low-frequency gestures.

What is the primary advantage of the Sign Language Translator developed by the team?

The Sign Language Translator developed by the team uses flex sensors to measure bending, making the device portable and reliable, unlike bulky camera equipment or unreliable mobile apps.

How does the Sign Language Translator work?

The translator uses flex sensors to detect the bending of fingers or hands, converting this into electrical signals. These signals are processed by a microcontroller, which converts them into text that is displayed on an LCD screen.

What components are used in the Sign Language Translator?

The device utilizes flex sensors to measure bending, a microcontroller to process the signals, and an LED screen to display the translated text.

What are some potential future advancements for the Sign Language Translator?

Future advancements may include integrating a Raspberry Pi model for better processing, adding cameras for improved gesture recognition, and utilizing advanced AI models for even more accurate translation.

What limitations are mentioned regarding the current mobile applications for sign language translation?

Mobile applications are limited because they don’t support formal gestures and often fail to accurately translate low-frequency gestures.

How does the Sign Language Translator improve over traditional camera-based systems?

The Sign Language Translator is more portable, as it doesn’t rely on bulky camera equipment, and it offers more accurate and reliable translation compared to camera-based systems.

What role do flex sensors play in the Sign Language Translator?

Flex sensors are used to measure the bending of fingers or hands, converting these physical movements into electrical signals, which are then translated into text by the microcontroller.

What is the expected cost of the future versions of the Sign Language Translator?

Future versions of the device, which will likely include advanced components like Raspberry Pi and cameras, are expected to cost more than the current version.