Image Processing
By analyzing image data, we provide intelligent solutions for object recognition, quality control, and automation processes.
Detailed Information
DeepThing develops image processing solutions for industrial and digital applications. Data captured from cameras, sensors, or video streams is processed using methods such as filtering, segmentation, edge detection, and pattern recognition. This process utilizes libraries like OpenCV and NumPy to perform high-accuracy analysis. Our image processing services cover a wide range of applications, including error detection on production lines, object counting, face recognition, and image-based measurement. Each project is designed with real-time and optimized performance in mind.
Features
- Image preprocessing (filtering, noise reduction, segmentation)
- Edge, motion, and object detection algorithms
- Color and shape-based classification
- 2D/3D image support
- Real-time video analysis and reporting
Process Steps
- Data Collection: Image data is collected from cameras or sensors.
- Preprocessing: Noise reduction and image sharpening processes are performed.
- Algorithm Development: Image processing methods are selected according to the application objective.
- Analysis and Testing: Algorithms are tested for accuracy, speed, and performance.
- Integration: The developed system is integrated into the hardware or software infrastructure.
- Result Monitoring: Real-time analysis and performance tracking are performed.