Muhammad Osama

BTech(MechEng)

Mechanical Engineering with specialization in AI & Robotics

Muhammad Osama is a full-time data analytics consultant and freelance technical writer based in Delhi, India. He specializes in transforming complex technical concepts into accessible content. He has a Bachelor of Technology in Mechanical Engineering with specialization in AI & Robotics from Galgotias University, India, and he has extensive experience in technical content writing, data science and analytics, and artificial intelligence. Muhammad has worked on various research projects related to data analytics, machine learning, and deep learning for industries such as retail, medical, finance, agriculture, and Ed-Tech. He is enthusiastic and passionate about Artificial Intelligence-related research. Outside of work, he enjoys learning about new developments across all the fields related to science, technology, engineering, mathematics, and statistics.

Articles from Muhammad

Affordable Missile Defense System for Bangladesh

Researchers have introduced an innovative, cost-effective missile detection and destruction system using ultrasonic sonar, metal detectors, smoke detectors, and infrared sensors, coupled with a pure pursuit algorithm for target engagement.

17 Jul 2024

Smart Bird Repellent Uses AI and Lasers

Researchers have developed a deep learning and laser system to detect and repel wild birds, effectively protecting crops and poultry. The system, tested on a duck farm in Taiwan, significantly reduced bird presence with a repulsion rate of up to 97.1% per hour.

16 Jul 2024

Robotic Companion Matanya Eases Elderly Loneliness

Researchers introduced "Matanya," a baby-sized companion robot designed to provide emotional support to elderly individuals in home care centers by recognizing and responding to their facial expressions. Pilot studies showed that interactions with Matanya improved the mental health and well-being of elderly users, reducing loneliness and depression, and received positive feedback from caregivers, indicating its potential for broader adoption in elderly care settings.

15 Jul 2024

Telepresence Breakthrough: Remote-Control Humanoid Robot

A novel robotic avatar system introduced in the International Journal of Social Robotics enables remote control of a humanoid robot, TOCABI, providing real-time sensory feedback to the human operator. This system, evaluated through user studies and competitive demonstration, shows promise for applications in disaster response, space exploration, and healthcare, enhancing human-robot interaction with immersive telepresence and precise control.

11 Jul 2024

HDMNet Object Detection Technique Automates Pear Harvest

Researchers introduced HDMNet, a deep learning-based visual system for robotic pear picking, enhancing YOLOv8 with three key features for better accuracy and efficiency in complex environments. HDMNet demonstrated superior performance in real-time detection, achieving a high mean average precision and operating seamlessly in real-world applications, promising significant advancements in agricultural automation.

10 Jul 2024

Snake Robots Revolutionize Pipeline Inspections

Researchers have introduced a helical gait for snake robots, enabling effective three-dimensional spiral motions for comprehensive pipeline inspections. This innovation, addressing the challenge of precisely locating pipeline leaks, promises significant safety improvements in various sectors reliant on pipeline transportation.

9 Jul 2024

Cognitive Robots Transform Brownfield Production

Researchers introduced a cognitive robotic system in CIRP Journal of Manufacturing Science and Technology that automates tasks in brownfield production without extensive modifications to existing machinery. The system mimics human operators using a perception system, handling devices, and a skill-based control mechanism, significantly improving setup time and adaptability for SMEs.

8 Jul 2024

CES-YOLOv8 Revolutionizes Strawberry Ripeness Detection

Researchers developed CES-YOLOv8, an advanced deep learning algorithm, to improve the accuracy and efficiency of detecting strawberry ripeness for automated harvesting robots. CES-YOLOv8 demonstrated superior performance in real-time image processing, offering significant advancements in smart agriculture and potential applications for various fruit crops.

4 Jul 2024

Innovative Haptic System Enhances Robotic Surgery Training

Researchers introduced a cost-effective haptic feedback system for robotic surgery training, addressing the absence of tactile and force sensations in current systems. By integrating kinesthetic and tactile feedback, this novel system significantly improves surgical precision and training fidelity, making advanced robotic surgery techniques more accessible and safer for both surgeons and patients.

3 Jul 2024

Pneumonia Detection Using Deep Learning

This study investigates the application of deep learning algorithms to automate pneumonia detection from pediatric chest X-ray images. Researchers compared custom convolutional neural networks (CNNs) with transfer learning using ResNet152V2, emphasizing fine-tuning strategies to optimize model performance.

2 Jul 2024