Artificial Intelligence (AI) is no longer a foreign concept in the industrial sector. From global manufacturing giants to small and medium-sized factories in Vietnam, AI is steadily becoming a vital tool for boosting productivity and cutting costs—particularly for small and medium enterprises (SMEs). Among the most accessible and impactful applications of AI is AI Vision, or machine vision integrated with artificial intelligence. 

However, integrating AI into production lines remains a challenge for SMEs due to limited resources. Most AI systems require advanced programming expertise, complex hardware setups, and significant upfront investment. These are key barriers that hinder digital transformation. 

The MOMAVI smart camera was developed to address these challenges. This all-in-one device enables businesses to begin adopting AI in manufacturing, aligning with the broader trend of modern automation. 

Common Challenges in Deploying Machine Vision Systems

Before diving into the solution, let’s examine the typical issues businesses face when deploying machine vision systems:

1. Complexity in Programming and Integration

Setting up a machine vision system is a complex process. It involves selecting the right components and ensuring they work seamlessly together. Integrating these systems into an existing production line only adds to the complexity, as compatibility and communication with other devices and software in the system must be ensured. 

For instance, integrating with PLCs (Programmable Logic Controllers) or MES (Manufacturing Execution Systems) requires careful planning and execution. Every component must be precisely configured to avoid bottlenecks and ensure smooth operation. Compatibility and efficient data sharing between devices are crucial. 

Breaking down the implementation into clear, manageable steps can help simplify the process. First, assess the actual needs of the production line. Then, select the appropriate components, followed by integration. Partnering with experienced system integrators gives businesses a significant advantage in achieving a well-functioning setup from the start. 

2. Maintenance and Operation Challenges

Machine vision systems require regular maintenance to perform optimally. Components like cameras and lenses need to be cleaned and calibrated frequently. Software must also be updated regularly to maintain security and performance. Proactive inspection and maintenance can help detect and resolve issues early, avoiding major problems later. However, this requires clear planning and dedicated resources. 

3. High Initial Investment for Advanced AI Systems

One of the biggest obstacles to deploying machine vision systems is the high upfront cost. These systems often require significant investment in high-resolution cameras, specialized lenses, optimized lighting systems, powerful processors, and dedicated software. 

Beyond hardware, businesses must also consider the cost of integrating these systems into existing production workflows and customizing them for specific industrial applications. 

For SMEs, this initial cost can be a major hurdle. Although machine vision systems greatly enhance productivity and quality, the price tag may cause hesitation. Therefore, consulting with experienced professionals is strongly recommended before investing—they can help businesses significantly reduce implementation costs. 

MOMAVI: Smart Camera with Built-in Image Processing

MOMAVI is an AI-powered smart camera with built-in image processing capabilities, eliminating the need to connect to an external industrial PC.  

Key Features of MOMAVI: 

• Embedded Image Processing: With an onboard processor, MOMAVI can perform tasks such as object recognition, analysis, and control signal output directly at the device level—reducing latency and maximizing line speed.
• No Programming Required: MOMAVI allows users to configure inspection processes using a drag-and-drop interface—no coding knowledge is necessary. 
• User-Friendly Interface: Designed for ease of use, the interface is intuitive even for non-technical staff. With just a few hours of training, factory technicians can learn to operate the system independently.  

How Does MOMAVI AI Work?

MOMAVI is particularly suited for the early stages of digital transformation, requiring no complex deep learning models. Its AI capabilities include: 

• Color Recognition: Detects color deviations and identifies defective products due to abnormal color shifts. 
• Pattern Matching: Verifies product shapes and designs to ensure they meet standards. 

• Counting, OCR, and Barcode Reading: Accurately counts items on the conveyor, reads barcodes, QR codes, batch numbers, and production dates. 

• Coordinate Detection: Used for PCB alignment and locating target positions. For example, MOMAVI can detect fiducial marks on a PCB and send their coordinates to other systems. 

These algorithms allow MOMAVI to solve a wide range of vision tasks without requiring advanced AI knowledge or complex machine learning systems.  

Real-World Applications in Manufacturing

MOMAVI can be deployed across various industries. Here are some common use cases: 

• Packaging Industry: Verifies label printing, detects missing or incorrect labels, counts boxes on the conveyor, and identifies broken seals or incomplete packaging. 
• Electronics and Electrical Industry: Locates components before placement, inspects tiny symbols on circuit boards, and validates products using barcodes. 
• Medium-Speed Production Lines: With fast and stable processing capabilities, MOMAVI is ideal for medium-speed lines—common in many Vietnamese factories. 

All these applications can be achieved without a separate server or processing computer, saving space and reducing initial investment costs.  

Why MOMAVI Is Ideal for SMEs

With its compact design, quick deployment, and affordable pricing, MOMAVI is an ideal solution for SMEs seeking to implement machine vision and boost production efficiency.  

Compared to other machine vision systems on the market, MOMAVI offers a much more accessible price point while maintaining reliable performance. Its drag-and-drop interface allows in-house technicians to configure the system independently, eliminating the need for external programming services.  

Installation and integration can be completed in just 1–2 days, minimizing downtime and allowing quick go-live. The inspection process is fully automated, easing the workload of quality control (QC) staff.  

In an era where smart automation is becoming the standard, MOMAVI is a practical and intelligent choice to begin adopting AI in manufacturing. With integrated image processing, no programming requirements, and cost-effective pricing, MOMAVI opens the door for businesses of all sizes—especially SMEs—to access AI-powered vision technology with ease.  

Reference: MOMAVI AI Vision System