Process and track objects in a video
Detect objects in images or videos
Detect and track cars in a video
yolo-bdd-inference
Detect objects in images or videos
Track moving objects in videos or webcam feed
Detect cars, trucks, buses, and motorcycles in videos
Track objects in uploaded videos
Powerful foundation model for zero-shot object tracking
YOLOv11n & DeepSeek 1.5B LLM—Running Locally
Product Prototype 1
SOTA real-time object detection model
A UI for drone detection for YOLO-powered detection system.
Sawit Detection is an AI-powered tool designed to process and track objects in video content. It leverages advanced computer vision and machine learning algorithms to detect and analyze objects within videos, providing accurate and efficient tracking capabilities. Ideal for security, surveillance, and video analysis tasks, Sawit Detection is user-friendly and offers robust features to meet various needs.
• Real-time Object Detection: Quickly identify and localize objects in video streams.
• Multi-object Tracking: Track multiple objects simultaneously with high accuracy.
• Video Analysis: Supports various video formats for seamless processing.
• Customizable Settings: Adjust detection parameters to suit specific use cases.
• Cross-platform Compatibility: Works on multiple operating systems and devices.
1. What types of objects can Sawit Detection track?
Sawit Detection can track a wide range of objects, including people, vehicles, animals, and other customizable targets.
2. Is Sawit Detection suitable for real-time video analysis?
Yes, Sawit Detection supports real-time object detection and tracking, making it ideal for live video streams and surveillance applications.
3. Can I use Sawit Detection on different devices?
Yes, Sawit Detection is designed to be cross-platform, allowing it to run on multiple devices and operating systems, including Windows, macOS, and Linux.