AI Documentation: Using Collage Schedule
Gesture-controlled drones represent a significant advancement in human-computer interaction, allowing users to operate drones using simple hand movements without the need for traditional controllers. This technology utilizes computer vision, machine learning, and sensor-based systems to interpret gestures and translate them into drone commands such as takeoff, landing, movement, and hovering. A typical gesture-controlled drone employs a combination of cameras, accelerometers, gyroscopes, and deep learning models to recognize predefined gestures in real-time. Image processing techniques,
Authors
- Mushfiquddin Khan (ORCID: https://orcid.org/0000-0001-7945-3237)
- Saurabh Patel (ORCID: https://orcid.org/0000-0001-9472-0188)
- Usman Khan
- Raheen mam
Publication Details
- Journal
- INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
- Published
- 2025-03-14
- DOI
- https://doi.org/10.55041/ijsrem42486
- Primary Topic
- Scheduling and Optimization Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 0.00