| [1] | YOLO and OpenCV | Provides real-time object detection and visual replacement for the blind. | YOLO may struggle with small or distant objects, and OpenCV's accuracy can vary based on lighting conditions and object complexity. |
| [2] | TensorFlow API, CNN, SSD, and MobileNet V2 | Achieves high accuracy without needing an Internet connection. | May require significant computational resources, especially for training the model. |
| [3] | CNN | Utilizes data augmentation to achieve a 94% accuracy rate for banknote recognition. | Edge-detected images negatively affect accuracy, indicating a need for larger datasets and varied lighting conditions. |
| [4] | CNN | Improves runtime and accuracy for heart rate estimation in large groups. | Specific details about the adapted algorithm and its implementation are needed for a thorough evaluation. |
| [5] | YOLO and SSD | Uses Raspberry Pi devices for a compact travel aid, demonstrating real-world implementation. | The system may face limitations in detecting objects in complex environments or under varying lighting conditions. |
| [6] | CNN and LSTM | Uses Braille and sound bite hearing devices for communication, achieving high accuracy. | The system's effectiveness may depend on the user's familiarity and comfort with Braille. |
| [9] | FSP algorithm | Utilizes a panoramic camera for pedestrian trajectory prediction, improving real-time performance. | The algorithm's accuracy and performance in dynamic or crowded environments need further evaluation. |
| [10] | CNN | Achieves 98% accuracy in diagnosing glaucoma using retinal images. | The effectiveness of the technique in clinical settings and its generalizability to diverse populations need further validation. |
| [11] | Four-layered CNN | Detects and classifies objects with high accuracy and low response time. | The device's performance may vary based on the complexity of the environment and the types of objects present. |
| [12] | CNN and fuzzy logic | Provides auditory feedback for obstacle detection, enhancing interaction with surroundings. | The computational complexity of the algorithms may affect real-time performance. |
| [13] | CNN | Uses smart glasses to identify medicine, showing promise for real-world implementation. | The system's accuracy and reliability in identifying specific medications need further validation. |
