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Applications of Machine Vision
Machine Vision finds applications across various industries, each with its unique set of tasks and challenges. Machine Vision in combination with AI and deep learning has indeed expanded the role of robots and automation.
Image acquisition and image processing are critical for accurate analysis. The image processing and powerful algorithms enable accurate inspection.
Typical applications are:
- Inspection of components and materials
- Automatic sorting
- Object recognition
- Pattern recognition
- Counting
Machine Vision Industries
The market for Machine Vision Inspection technologies and solutions is projected to grow at an astounding rate reflecting the increasing adoption of machine vision across industries and the recognition of its significant impact on productivity, quality control, and overall operational efficiency. Machine Vision is used in a wide variety of industries, including:
- Automotive
- Food and beverage
- Manufacturing
- Logistics and warehousing
- Healthcare
- Energy
- Agriculture
Challenges in Machine Vision Implementation
While Machine Vision technology offers numerous benefits, implementing it in a business environment can be challenging. It requires careful consideration of hardware to fit the application and environment.
Inadequate Hardware
The effectiveness of a Machine Vision system relies on high-quality hardware. Installing high-resolution cameras, sensors, and other components is essential for accurate image capture and processing. Inadequate or suboptimal hardware can lead to blind spots, ineffective systems, and reduced confidence in the detection and picking of objects.
Speed of Acquisition
To compete with human capacity, machine vision systems need to perform tasks at a high speed. Increased production volumes, warehouse logistics, and order fulfillment require machine vision systems capable of supporting a significant number of picks per hour. High-quality data acquisition and image processing at a fast pace ensures efficient and productive operations.
Form Factor and System Stability
The form factor of a Machine Vision system plays a crucial role in its effectiveness and versatility. Large baseline vision systems can introduce occlusion and result in errors in data capture. In scenarios where the system is mounted on a robot, a large baseline can lead to collision risks with the surroundings. Ensuring a compact and optimized form factor allows for seamless integration and operation in various scenarios.
Furthermore, system stability is vital for long-term usage and reliability. Harsh operating conditions can impact the quality of 3D data captured by the vision system over time. Industrial-grade vision systems that can adapt to external conditions and provide consistent and confident picking tasks are essential for sustained performance.
Choosing the right hardware platform for Machine Vision
While Machine Vision technology offers numerous benefits, implementing it in a business environment can be challenging.
It requires careful consideration of hardware to fit the application and environment. Blue Line offers the important platforms.
CPU based computers
A powerful CPU is essential for machine vision applications, as they often require real-time image processing. Get access to Blue Line’s broad range of industrial and embedded computers adapted to your needs and environment.
GPU based computers
A GPU (graphics processing unit) based platform from Blue Line is ideal to accelerate machine vision tasks such as image classification and object detection. Blue Line’s computers with NVIDIA GPUs are particularly well-suited for machine vision applications.
