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AI Image Analysis and Processing Platform Development

Using AI and deep learning, we provide AI platforms and ML services for image recognition and analytics solutions, delivering enterprise-level image processing and analysis software.

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AI Image Analytics Service

Algorithm Model Generation Using Machine Learning

Collect and label large image datasets, train machine learning models, and continuously optimize algorithms to generate highly accurate Image Recognition Models.

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Develop Custom Image Analysis Software for Business Needs

Build industry-specific image recognition and analysis platforms using client-provided Expertise or Algorithm Packages.

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AI Image Analytics Service

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AI Image Analytics Service

Custom Development of AI Smart Hardware Products

Integrate traditional smart hardware with AI recognition algorithms to create Advanced AI-powered Hardware Products featuring image recognition and analysis capabilities.

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Image Analysis and Processing Application Scenarios

Medical Diagnosis

Help doctors diagnose diseases

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Pathology Analysis

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Blood Analysis

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Disease Diagnosis

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Imaging Diagnosis

Image Recognition

Improve computer understanding

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Facial Recognition

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Vehicle Recognition

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Fire Detection

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Smoke Detection

Image Processing

Improve image quality or create new visual effects

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Image Denoising

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Image Dehazing

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Image Segmentation

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Image Optimization

User Behavior Analysis

Automatically detect & alert non-standard activity

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Posture Analysis

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Smoking Behavior

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Phone Call

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Dress Code

Industrial Inspection

Automatically detect product defects

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Missing Part Detection

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Dimension Inspection

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Burr Detection

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Appearance Inspection

Zed Technical Expertise

Zed has a specialized AI image processing algorithm development team to address clients' hardware and software needs.

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IoT Development Team Photo

Deep Learning Frameworks

Using TensorFlow、TensorFlow Lite、PyTorch for tools and libraries to build, train deep neural networks.

Computer Vision Libraries

Using OpenCV and OpenMV for image processing, feature detection, and image recognition.

Machine Learning Algorithms

Using algorithms including Classification, Regression, and Clustering for image analysis and processing.

Image Enhancement Tech

Applying techniques such as Filtering, Sharpening, and Contrast Enhancement to improve image quality.

ZedIoT Service Advantages

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Advanced Technology

Utilizes deep learning and other AI technologies to meet specialized image recognition and analysis needs.

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Fast Response

Uses lightweight model fusion and compression to boost algorithm efficiency, achieving millisecond-level analysis.

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Secure and Reliable

Provides standardized interfaces for easy integration, with robust security measures for protection.

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Flexible Solutions

Tailors computational resources to specific application requirements, aligning algorithms with real-world use cases.

Case Study

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Industrial Camera Image Recognition

Droplet Deformation Stress Analysis System Development

Developed a system consisting of two main components: injection and imaging. The software integrates with industrial cameras to receive video streams, captures screenshots, and identifies droplets within the images. It then predicts deformation and analyzes stress based on the droplet contours.

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Medical University Behavior Recognition and Image Analysis

Practical Training Management Behavior Recognition System Development

Developed a training management system for a medical university to oversee in-house courses. The system features modules for course design, project planning, and scheduling. It captures real-time footage of student practice with hardware and uses neural networks

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Medical Device Company

Biological Microscope Control System Development

Developed an upper-level control system for biological microscopes, integrating with a three-axis microscope control unit and industrial camera for high-resolution imaging of human tissues. The system applies traditional and neural network algorithms for image processing tasks, including convolution superpixels, depth of field, automatic segmentation, staining, and target recognition.

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Tunnel Scanning

Electron Microscope Control and Data Analysis System Development

Assisted a research institute in developing a tunnel scanning electron microscope (SEM) control system. The system provides real-time feedback on the SEM's status, controls sample scanning according to the scanning plan, and analyzes energy spectrum data.

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