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NeoCounter AI is a camera and AI counting machine that automatically recognizes and counts sheet materials, layered products, thin products, and products with complex structures.
By replacing manual counting, NeoCounter AI helps improve counting speed, reduce counting errors, and increase production efficiency.
Call 0902 886 117 - (028) 2253 2772 for advice and purchase.
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❌ Depends on the Operator |
❌ Easy to Make Counting Errors |
❌ Difficult to Maintain Accurate Quantity Control |
❌ Manual Counting Takes Time |
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Counting results may vary depending on the operator and working conditions. |
Thin, small, or multi-layered products can be difficult to count accurately by eye. |
Counting errors during packaging, shipping, or inventory checks can affect production and inventory management. |
Employees need to count products one by one, which becomes especially time-consuming when handling large quantities. |
NeoCounter Ai-One uses a camera to capture product images and AI technology to recognize, analyze, and determine the quantity automatically.
Instead of manually counting each product, the operator simply places the products on the Counting Station and starts the counting process.
NeoCounter Ai-One helps automate counting operations, reduce manual counting errors, and improve counting efficiency.
01 NeoCounter Ai-One Can Count Complex Products
Thin, multi-layered, or complex-shaped products can be difficult to count accurately using traditional counting methods.
NeoCounter Ai-One uses a camera and AI technology to learn the visual characteristics of products instead of relying only on simple changes in brightness.
AI can learn characteristics such as shape, edges, color, and brightness, allowing the system to recognize individual products even when the images contain complex variations.
02 No Complex Threshold Adjustment Required
With traditional image-based counting methods, users often need to adjust brightness, contrast, and threshold settings and perform repeated tests to find the appropriate configuration.
NeoCounter Ai-One simplifies this process.
Simply capture sample images and perform annotation to identify the products to be counted. AI learns from these sample images and creates a counting model suitable for each type of product.
This makes AI image recognition and automatic product counting easier to set up and operate.
03 Adapts to Changes in Cross-Sections
For sheet materials and cut products, the cross-section may change depending on the material, cutting blade, and production conditions.
With NeoCounter Ai-One, multiple images showing different product conditions can be provided for AI training.
AI can learn variations in the shape, edges, color, and brightness of the cross-section, helping the system adapt more effectively to changes in actual products.
EXAMPLE PRODUCTS:
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PCB with interleaving paper (0.3 mm)  |
Transparent plastic cards (0.3 mm)  |
Silver transparent bags (0.1 mm)  |
Brown flexible sheets / FPC (0.1 mm)  |
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Product Cross-Section  |
Product Cross-Section  |
Product Cross-Section  |
Product Cross-Section  |
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Counting Results  |
Counting Results  |
Counting Results  |
Counting Results  |
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Heat dissipation sheets  |
Kraft paper bags (0.2 mm)  |
Thin stainless-steel sheets  |
Transparent plastic trays  |
Traditional non-contact counting machines typically analyze changes in brightness within an image and convert the image into a Brightness Profile. The system then determines the quantity by counting the peaks in the brightness profile.
However, this method can be challenging when the boundaries between products are unclear or when the image contains bright areas that are not part of the counting target.
With NeoCounter Ai-One, AI learns the actual image of the product itself, enabling the system to recognize and count products based on their visual characteristics.
| Products with Unclear Boundaries Example: Gaskets |
Instead of converting images into brightness profiles, AI learns the actual image of the counting target. |
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| Products with Bright Areas Other Than the Counting Target |
AI can count only the cross-sections of transparent bags without mistakenly counting the white paper inside. |
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Captures images at up to 5,400 pixels horizontally, clearly capturing even thin products and materials.
Instead of detecting changes in brightness, AI learns the actual image of the cross-section.
This enables NeoCounter Ai-One to accurately count sheet materials with complex cross-sections, including products made by bonding multiple layers or materials together.
Even when the cross-section changes depending on the condition of the cutting blade, or when sheet materials have significant variations in thickness and appearance, Deep Learning can learn multiple cross-sectional patterns and count accurately without missing products.
| STEP ① Create a Counting Model | STEP ② Data Annotation | STEP ③ AI Training |
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Capture images of the cross-sections of the products to be counted. |
Annotation is the process of labeling the data that AI will learn from. |
Use the annotated images to train the AI and create an image recognition and counting model.
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| Applications & Implementation | Laptop PC / Desktop PC |
| NEOCUNTER-Ai-ONE Software | Includes camera, lens, and lighting system. |
| Specification | Counting Station |
| Dimensions | Approx. W270 × H350 × D270 mm (*Excluding protruding parts) |
| Weight | 6 kg |
| Input Voltage | AC 100–240 V (50/60 Hz) |
| Power Consumption | 65 W |
| Counting Width | 75 mm (*Depending on camera settings and lens.) |
| PC Specifications | |
| CPU | Intel Core i7 or higher |
| Memory | 16 GB |
| GPU | NVIDIA GPU, 6 GB VRAM or more |
| Input Voltage | AC 100–240 V ±10% (50/60 Hz) |
| Power Consumption | 300 W |
| Dimensions (W × D × H) | Approx. 360 × 260 × 30 mm |
| Weight | Approx. 2 kg |
| Power Input | Sine wave only |
NEOCOUNTER Counting Machine – Camera-Based Counting Technology A smarter way to count products automatically.Simply place the products on the machine and get the count in just 1 second! High-speed image processing at 10–20 times per second, with automatic OK/NG checking for fast and accurate inspection. Count faster. Check easier. Work smarter.
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