A5079968778- Insect Resistance and Genetics
- Entomopathogenic Microorganisms in Pest Control
- Insect and Pesticide Research
- Tactile and Sensory Interactions
- Industrial Vision Systems and Defect Detection
- AI in cancer detection
- Manufacturing Process and Optimization
- Robotics and Sensor-Based Localization
- Surface Roughness and Optical Measurements
- Gene expression and cancer classification
- Edible Oils Quality and Analysis
- Video Surveillance and Tracking Methods
- Interactive and Immersive Displays
- Enzyme Catalysis and Immobilization
- Bayesian Methods and Mixture Models
- Protein Hydrolysis and Bioactive Peptides
- User Authentication and Security Systems
- vaccines and immunoinformatics approaches
- Cutaneous Melanoma Detection and Management
- Image and Object Detection Techniques
- Gaze Tracking and Assistive Technology
- Environmental Toxicology and Ecotoxicology
- Advanced Neural Network Applications
- Nanoparticles: synthesis and applications
- AI-based Problem Solving and Planning
University of Sfax
2012-2025
National Engineering School of Tunis
2015-2022
Centre of Biotechnology of Sfax
2014-2018
In this paper, we describe a new electronic white cane for visually impaired people. Our device may enable blind individuals to see the world with their ears. fact, used different types of sensors detect and recognize obstacles. choice is based not only on system requirement but also technology cost. Accordingly, two ultrasonic one monocular camera. With such low-cost measurement units, rely fusing data obtained by our complementary in further steps. An alert speech message then sent user...
In this paper, a new ground plane segmentation method is proposed for obstacle detection to improve the mobility of visually impaired people by means novel electronic cane Smartcane. Monocular camera was used which has merits get simple computation and cheap hardware it's promising realize real time navigation. The based on an appearance-based approach combining both color texture information extracted from monocular image. algorithm tested with challenging indoor image set. It gives better...
The biometric systems face variability, incompleteness and insufficiency in data, which affects the performance of recognition system. In iris systems, several conditions cause different types degradations on data such as poor quality acquired pictures, region can be partially occluded due to light spots, or by lenses, eyeglasses, hair eyelids, adverse illuminations contrasts. All these limitations are open problems affect localization, feature extraction decision making process, appear...
Autonomous collision avoidance for visually impaired people requires a specific processing an accurate definition of traversable area. Processing real time image sequence area segmentation is quite mandatory. Low cost systems suggest use poor quality cameras. However, low camera suffers from great variability appearance at indoor as well outdoor environments. Taking into account ambiguity affecting object and induced by reflections, illumination variations, occlusions (, etc...), in such...
For a safe navigation of visually impaired people, traversable area segmentation seems well important for preventing collision or falling down. In this respect, reducing the system cost entails applying low resolution monocular cameras, leading to poor quality images. Adding potential associated camera vibration, proves be liable some data imperfections. Such image affecting imperfections refer necessity possibility theory as an appropriate means information ambiguity. regard, new based on...