Process and track objects in a video
Detect objects in live video feeds
Next Gen Yolo
Detect objects in real-time video streams
Analyze video to recognize actions or objects
Detect objects in images or videos
Identify objects in images and videos
Detect objects in images or videos
Analyze video for object detection and counting
Detect objects in uploaded videos
Identify objects in images and videos
Identify objects in images and videos
YOLOv11 Model for Aerial Object Detection
Sawit Detection is an AI-powered tool designed to track objects in video with precision. It leverages advanced algorithms to process video content, detect, and track specific objects or movements. Whether for surveillance, analysis, or research, Sawit Detection provides accurate and real-time insights into object tracking, making it a versatile solution for various applications.
• Object Detection: Identify and classify objects within video frames using state-of-the-art AI models.
• Tracking Capability: Continuously monitor the movement of detected objects across multiple frames.
• Real-Time Processing: Analyze video content on the fly, ensuring timely and responsive results.
• Customizable Settings: Adjust detection parameters to suit specific use cases or improve accuracy.
• Video Compatibility: Supports a wide range of video formats and resolutions.
• Detailed Analytics: Generate reports and insights on tracked objects, including their paths and behaviors.
What types of videos can Sawit Detection process?
Sawit Detection supports most common video formats, including MP4, AVI, and MOV, and works with varying resolutions.
How can I improve the accuracy of object detection?
Adjusting detection settings, such as sensitivity and object classification parameters, can enhance accuracy.
Is Sawit Detection suitable for real-time applications?
Yes, Sawit Detection is designed for real-time processing, making it ideal for live video analysis and tracking.