Rotatable Camera Counting With Low-Cost IMU for Ultra-Wide Scenes
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing object counting systems fail to efficiently count objects in ultra-wide scenes without relying on multiple cameras or complex algorithms, and there is a need for a system that can utilize a rotatable camera and low-cost IMU for real-time object counting.
Innovation Solution
A system comprising a rotatable camera with a gyroscope and low-cost IMU, utilizing an object detection module, re-projection module, and non-maximum suppression module to count objects in ultra-wide scenes by dividing the scene into frames, detecting objects, re-projecting bounding boxes, and suppressing duplicates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple cameras are used to cover ultra-wide scenes, then the coverage area is improved, but the system cost and complexity increase
Solution Approach 1:
The patent divides the ultra-wide scene into multiple overlapping fields of view captured by a single rotatable camera. The camera takes multiple images at different angles/positions, and each image is processed independently through object detection to identify objects within that specific field of view. This segmentation approach allows comprehensive scene coverage while maintaining system simplicity.
Solution Approach 2:
The patent employs a rotatable camera that can dynamically change its viewing angle and position to capture different portions of the ultra-wide scene. Instead of using multiple fixed cameras, a single camera is made dynamic through rotation, allowing it to sweep across the entire scene and capture objects in different regions sequentially.
2Area of stationary object
If ultra-wide lens is used to capture the whole scene, then the field of view is improved, but the image distortion increases
Solution Approach 1:
Rather than using an ultra-wide lens that captures the entire scene in a single distorted image, the patent segments the scene into multiple narrower fields of view captured at different camera positions. Each individual image has minimal distortion because it is captured with a standard lens at a specific angle, and the segmentation approach avoids the need for wide-angle distortion correction.
3Area of stationary object
If stitching algorithms are used to create panorama images, then the scene coverage is improved, but the processing complexity and time increase
Solution Approach 1:
The patent extracts object detection and counting functionality from the traditional panorama stitching workflow. Instead of first creating a stitched panorama image and then performing object detection on the composite image, the system performs object detection independently on each individual captured image. This extraction of the detection step from the stitching process eliminates the need for complex panorama alignment and blending operations, significantly reducing processing time while still achieving comprehensive scene coverage through multiple images.
4Reliability
If fixed surveillance cameras are used, then the system stability is improved, but the adaptability to different scenes is limited
Solution Approach 1:
The patent transforms the fixed surveillance camera into a dynamic system by adding rotation capability. The camera can now adapt its viewing direction and position to match different scene configurations and requirements. This dynamic adjustment allows the same stable camera hardware to be adapted to various scenes, maintaining system reliability while greatly enhancing versatility.
Solution Approach 2:
The rotatable camera system achieves multi-functionality, allowing a single camera to perform the role of multiple fixed cameras. By rotating to different positions, the same camera can capture different portions of the scene, making the system universal and adaptable to various scene layouts without requiring additional hardware for each specific scene configuration.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables efficient real-time object counting in ultra-wide scenes with high adaptability and precision, using a rotatable camera and lightweight AI models for accurate object detection and tracking.
Implementation Method 1
The present invention discloses an object counting system in an ultra-wide scene with a rotatable camera and a low-cost IMU
Implementation Method 2
an object counting system in an ultra-wide scene with a rotatable camera and a low-cost IMU
Data Source
AI summary
The present invention discloses a system and a method for object counting in an ultra-wide scene. The system comprises a device set with a rotatable camera and a low cost IMU. The system is used for object counting tasks like traffic flow monitoring. The present invention discloses an efficient solution for object counting with a rotatable camera and a gyroscope mounted on the camera with a number of modules for object detection and counting.