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Decoding Checkweigher Accuracy: What "±0.1 g" Actually Means (Sigma Conventions and How to Compare Vendors)

2026-07-16 · By Engineer Cai, Guangdong Miqi M&E Technology Co., Ltd.

When a checkweigher datasheet says "±0.1 g", that number is meaningless on its own. Accuracy on a dynamic checkweigher is a statistical statement about a distribution of readings, not a hard boundary — and vendors do not use the same statistical convention when they print it. Some quote one standard deviation (1σ, roughly 84% of readings on one side of the distribution); others quote three (3σ, roughly 99.7% coverage). The same machine, the same belt, the same product can be advertised with very different-looking numbers depending on which convention the marketing department picked. This article explains the difference between display division and weighing accuracy — two promises that buyers routinely confuse — walks through what a sigma convention actually commits a vendor to, corrects the most common misconceptions in cross-border checkweigher procurement, and gives you a printable checklist of questions to run against any quotation. It also publishes the real, unrounded specification of the MIQI MQ-CW3512L1 tablet checkweigher as a worked example of what a transparent datasheet should contain.

Decoding Checkweigher Accuracy: What "±0.1 g" Actually Means (Sigma Conventions and How to Compare Vendors) — infographic
Figure: Decoding Checkweigher Accuracy: What "±0.1 g" Actually Means (Sigma Conventions and How to Compare Vendors) (MIQI original)

Short answer: "±0.1 g" on a checkweigher datasheet is a statistical claim, not a guarantee that no reading will ever fall outside 0.1 g. A dynamic checkweigher weighs a moving product in a fraction of a second, and repeated weighings of the identical item produce a spread of readings. Vendors describe that spread using a standard deviation (σ). A number quoted at 1σ covers roughly 84% of readings; the same machine quoted at 3σ covers roughly 99.7%. Unless the datasheet states the σ convention, the product, the belt speed and the throughput, the number cannot be compared to any other vendor's number.

Two different promises hiding in one datasheet

Almost every checkweigher quotation contains at least two numbers that look like accuracy. They are not the same promise, and confusing them is one of the most expensive mistakes in cross-border procurement.

Display division: what the screen can show

Display division (sometimes printed as "readability", "resolution", or simply "d") is the smallest increment the indicator is capable of showing. It is a property of the display and the internal scaling, not of the measurement. If a machine shows 0.02 g steps, it will happily print 12.34 g and 12.36 g and never anything in between. That tells you the granularity of the output. It tells you nothing about whether either of those readings is correct.

This matters because display division is the cheapest number on the datasheet to make impressive. Increasing on-screen resolution costs a vendor almost nothing. Actually making the measurement trustworthy at that resolution costs a great deal — load cell quality, mechanical isolation, belt tension control, filter design, environmental hardening.

Weighing accuracy: the interval you can actually trust

Weighing accuracy is a statement about how far a reading may sit from the true mass of the product, under stated conditions, with a stated statistical confidence. It is always wider than the display division on a serious machine. When a datasheet shows a display division that equals or exceeds the claimed accuracy — for instance, 0.1 g division and "±0.1 g accuracy" — you should read that as a red flag and ask directly which of the two numbers is the measurement and which is the screen.

The plain-language version we give customers: display division is what the machine says; weighing accuracy is how much of what it says you should believe.

The sigma convention: the reason two datasheets cannot be compared

Weigh the same item on the same dynamic checkweigher a hundred times and you get a hundred slightly different readings, clustered around a centre. Belt vibration, product bounce, air movement, timing jitter in the sampling window, temperature drift and the mechanical settling of the load cell all contribute. The cluster of readings is a distribution, and the conventional way to describe its width is the standard deviation, σ.

Why 1σ and 3σ describe the same machine very differently

For a roughly normal distribution, the coverage associated with each convention differs dramatically. A one-sigma statement corresponds to approximately 84% cumulative coverage on one side of the distribution. A three-sigma statement corresponds to approximately 99.7% coverage. These are ordinary statistical facts, not vendor opinions.

The consequence is direct: a vendor quoting at 1σ is describing a band that a large fraction of readings will fall outside of. A vendor quoting at 3σ is describing a band that almost all readings fall inside. If Vendor A prints "±0.05 g" at 1σ and Vendor B prints "±0.1 g" at 3σ, Vendor B may well be the more capable machine — but the quotation makes Vendor A look twice as good. Our research into this topic found only a handful of pieces of content addressing the convention problem at all, which is precisely why buyers keep getting caught by it.

The zone where the machine cannot decide

There is a related principle worth understanding without attaching any invented figures to it. Because readings are spread rather than exact, there exists a band of true weights near the reject threshold where the machine's decision becomes probabilistic — a compliant pack may be read low and rejected, and a marginally light pack may be read high and passed. The width of that band scales with the machine's real σ. This is why a wider σ does not merely mean "less precise numbers" — it directly converts into give-away (overfilling to stay safely above the line) or into false rejects. Every gram of unnecessary give-away is a recurring cash cost; every false reject is a recurring waste cost. Accuracy is not a vanity spec.

Common misconceptions vs. facts

Misconception: "±0.1 g means no product will ever be read more than 0.1 g off." Fact: it means readings are distributed around the true value, and some stated proportion of them fall within 0.1 g. Which proportion depends entirely on the σ convention the vendor used. Without that convention stated, the number has no defined meaning.

Misconception: "A 0.02 g display division means the machine is accurate to 0.02 g." Fact: display division is the smallest step the screen can render. Accuracy is a separate, wider, condition-dependent claim. A machine can display 0.02 g steps and have a weighing accuracy several times that.

Misconception: "Accuracy is a fixed property of the machine." Fact: it is a property of the machine plus the product plus the speed plus the environment. The same checkweigher running rigid tablet blisters at moderate speed and running soft, sloshing pouches at maximum throughput will not deliver the same σ. Any accuracy figure quoted without the product, the belt speed and the throughput attached is an incomplete statement.

Misconception: "Faster belt speed is free." Fact: higher speed shortens the sampling window over which the load cell signal is averaged. Shorter windows mean less noise rejection, which widens σ. Speed and precision trade against each other on every dynamic checkweigher ever built; a vendor who claims otherwise is describing marketing, not physics.

Misconception: "If it passed factory test, it will hold on my line." Fact: a factory bench and a production line differ in vibration, airflow, floor rigidity, upstream product spacing and infeed handover. The specification describes the machine; your line describes the outcome. This is exactly why sample testing with your own product matters more than any datasheet.

What a transparent specification actually looks like

We think the most useful thing an equipment maker can do on this topic is publish its own numbers in full and let buyers audit them. Here is the real, unrounded specification of the MIQI MQ-CW3512L1 high-precision tablet checkweigher, exactly as it appears in our own product documentation:

Display division 0.02 g. Checkweighing range 1–1000 g. Checkweighing accuracy ±0.03–0.1 g. Weighing section L350 mm × W120 mm. Suitable product size L ≤ 200 mm, W ≤ 120 mm. Belt speed 5–90 m/min. Storage for 100 product recipes. Three-level operator permission control. 304 stainless steel body. Power supply AC 220V ±10%.

Read that with the lesson of this article applied. The display division (0.02 g) is deliberately finer than the accuracy figure (±0.03–0.1 g) — that is the correct relationship, and any datasheet showing the reverse deserves a question. The accuracy is quoted as a range, not a single hero number, because it moves with product and speed: light, rigid, well-spaced tablets at moderate belt speed sit at the tight end; heavier or less stable products near the top of the speed band sit at the loose end. The belt speed range (5–90 m/min) is published alongside it so you can see the trade-off rather than being sold the best-case corner of it.

For other applications, the sizing logic is the same but the machine changes: MQ-CWP6 and MQ-CWG6 sit in our checkweigher series for different product and format requirements, and MQ-CW4523L3 covers larger packaged formats. We would rather scope the right frame with you than sell you a number. MIQI is a source factory running nine equipment series and forty-four models, and we support free sample testing so the σ you plan around is measured on your product, not inferred from a brochure.

The checklist: eleven questions to run against any quotation

Print this. Send it to every vendor on your shortlist, including us. The quality of the answers will separate the field faster than any spec comparison.

1. Is your stated accuracy quoted at 1σ, 2σ or 3σ? Put the convention in writing on the quotation, not in an email.

2. At what belt speed and what throughput (packs per minute) was that accuracy figure obtained?

3. What product was it obtained with — weight, dimensions, rigidity, and whether the contents can shift?

4. What is the display division, and confirm explicitly that it is a different number from the weighing accuracy.

5. How many weighings was the figure derived from, and can you show the raw distribution rather than a summary?

6. What is the accuracy at my required throughput, not at your best-case throughput? Ask for both figures side by side.

7. What environmental conditions were assumed — temperature range, vibration, airflow, floor type?

8. What is the accuracy at the top and the bottom of the weighing range, not only at mid-range?

9. How is the machine re-zeroed and how often, and does the quoted figure include or exclude drift between zeroing events?

10. Will you run my actual product as a sample test and report the measured standard deviation, not a pass/fail?

11. What exactly is warranted in the contract — the σ figure, or only "functioning equipment"? An accuracy number that survives into the contract is a commitment; one that lives only in a brochure is not.

How to run your own verification in one afternoon

You do not need a laboratory to sanity-check a machine. Take one representative production item and a certified static reference weight of similar mass. Confirm the static reading first — if a machine cannot agree with a known mass standing still, nothing about its dynamic behaviour is worth discussing.

Then run the same single item across the belt at least thirty times at your intended production speed, recording every reading rather than averaging as you go. Compute the mean and the standard deviation of that set. The difference between the mean and the reference mass is your bias — usually correctable by calibration. The standard deviation is your real σ — usually not correctable by anything except mechanics, filtering and speed. Repeat at a lower speed and watch σ tighten; that delta is the price your line pays for throughput, quantified in grams.

Finally, repeat the whole exercise with your genuinely difficult product — the soft pouch, the tall unstable bottle, the near-minimum weight item — because the machine's behaviour on your easiest SKU is not the number you should be buying against.

Talk to an engineer, not a brochure

If you want the σ conversation rather than the hero-number conversation, we are happy to have it. Send us your product, your target weight, your required throughput and your reject rules, and we will tell you which frame fits and what standard deviation we measured on your own samples. Guangdong Miqi M&E Technology Co., Ltd. is a source factory offering free sample testing and non-standard customisation.

WhatsApp: +1 (213) 563-6234. Email: 897874196@qq.com. Ask for Engineer Cai.

Related equipment

By Engineer CaiEngineer Cai, MIQI (Guangdong Miqi M&E Technology Co., Ltd.). Talk to us about your line: +1 (213) 563-6234 · 897874196@qq.com
A Chinese version of this article is available at miqicw.cn

Frequently asked questions

What is the difference between checkweigher display division and weighing accuracy?+

Display division is the smallest increment the indicator can show on screen — a property of the display, not the measurement. Weighing accuracy is how far a reading may sit from the true mass under stated conditions and a stated statistical confidence. Accuracy is always the wider number on a credible machine. If a datasheet shows a display division equal to or larger than the claimed accuracy, ask the vendor to clarify which number is the measurement.

Does ±0.1 g mean no reading will ever be more than 0.1 g off?+

No. A dynamic checkweigher produces a distribution of readings, not a single exact value. "±0.1 g" states that some proportion of readings falls inside that band, and the proportion depends on the sigma convention used. Quoted at one standard deviation it corresponds to roughly 84% coverage; at three standard deviations, roughly 99.7%. Without the convention stated, the number has no defined meaning and cannot be compared across vendors.

Why do two checkweigher vendors quote such different accuracy numbers for similar machines?+

Usually because they are using different sigma conventions, different products, or different belt speeds. There is no industry-wide convention forcing vendors to quote at the same standard deviation, so a 1σ figure and a 3σ figure for the same machine look very different on paper. Always require the convention, the test product, the belt speed and the throughput to be written on the quotation before comparing two numbers.

How can I verify a checkweigher's accuracy claim myself?+

Check the static reading against a certified reference weight first. Then run one representative item across the belt at least thirty times at your production speed, recording every reading. Compute the mean and standard deviation. The mean-to-reference gap is bias, usually fixable by calibration; the standard deviation is the machine's real spread and is not. Repeat at a lower speed and with your hardest product to see the true speed-precision trade-off.

Further reading

Regulatory & Compliance

Is Metal Detection a CCP or a PRP? The Question Every Quality Manager Asks and No Equipment Vendor Answers

Ask ten food safety consultants whether a metal detector is a Critical Control Point or a prerequisite program and you will get ten answers, most of them delivered with more confidence than the evidence supports. The honest answer is that neither designation is universally correct: it is an output of your own hazard analysis, not a property of the machine. This article walks through the actual decision logic — hazard identification, significance, whether a later step eliminates the hazard, and what the designation obliges you to do afterwards — and explains why equipment manufacturers stay conspicuously silent on the topic. It also clears up the most damaging misconception in the market: that a regulation somewhere requires a metal detector. In the United States the regulatory hook is 21 CFR Part 117, and Part 117 does not name any piece of equipment. You get a printable decision checklist, the questions to put to your certification body, and a frank discussion of which equipment capabilities actually matter once a designation is made. Written by Engineer Cai at MIQI, a source factory for metal detection, checkweighing and X-ray inspection equipment.

Inspection Technology

What X-Ray Inspection CANNOT Detect: An Honest Limitations Guide

Almost every X-ray inspection page online tells you what the machine finds — metal, glass, stone, bone, dense plastic. Very few tell you what it misses. X-ray imaging works on density contrast: the beam is absorbed differently by different materials, and the detector renders that difference as grey. When a contaminant absorbs roughly as much radiation as the food around it, there is no contrast, and no contrast means no image — regardless of software, AI, or price tag. This guide walks through the physics behind that limit, the contaminant families it affects (hair, paper, low-density plastics, cartilage, string, wood), the product-side conditions that make a detectable object undetectable, and a practical checklist for deciding when X-ray is the right tool, when a metal detector is the better answer, and when you need both. Written by an engineer at a factory that builds all three — which is exactly why we can afford to tell you when X-ray will not save you.

Inspection Technology

How to Validate a Vendor's AI Inspection Claims: The Questions Nobody Wants You to Ask

Almost every accuracy number attached to "AI-powered" food X-ray inspection today is a vendor claim with no independent verification behind it. When you trace the most widely circulated figures back to their source, you land on equipment-maker and SaaS marketing blogs — not peer-reviewed studies, not third-party test reports. Searches aimed specifically at peer-reviewed validation of these numbers return vendor technical documents instead. And no vendor we found discloses the three things that would make an accuracy number meaningful: the test method, the sample size, and the confidence interval. This article is not an argument that AI inspection doesn't work. It is a practical guide to telling a real capability apart from a marketing sentence. It explains what the peer-reviewed literature actually says the hard problem is (training-data annotation, not model architecture), why a demo on a vendor's samples proves almost nothing about your line, and gives you a printable list of questions to put in front of any supplier — including MIQI. Written by Engineer Cai for engineers and QA managers who have to sign off on the purchase.

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