Bread-bag clip and neck-closure inspection
Bread-bag closure inspection should examine how the clip captures the gathered neck. Reject despite correct clip colour.
Line solution
Test this on your samplesBread bag closure and date code inspection
// Short answer
A bread bag closure check is a camera inspection of every bagged loaf after the closer: it confirms a clip or tag is on the bag neck and reads the date printed on the bread bag, comparing it with the expected date. addaScan builds it on a HIKROBOT vision sensor with OCR, or a colour camera with deep-learning OCR and a pusher reject. An indicative installed budget for a typical application is R 80 000 – R 540 000 excluding VAT.
// At a glance
The station in three lines
- Faults caught
- No clip or tag on the bag; date on the bag missing, unreadable or wrong
- Configuration
- HIKROBOT vision sensor with OCR at the bag neck, or a colour camera on a VC3000 with deep-learning OCR
- Line link
- Digital I/O to the reject, or PROFINET or EtherNet/IP where the chosen device lists it
// Fit & limits
What this station will not do, and what it needs
What it will not do
- Bag seal: whether the bag is closed airtight, or the clip grips firmly, is not measured.
- The loaf: freshness, mould, slicing and the bread inside the bag are not checked.
- Hidden clips: a clip or code turned fully away from the camera is rejected as unreadable, not read.
- Which marks are required: the station checks the date your bakery prints; it does not decide which marks the regulations ask for on the pack.
What makes it work
- Samples: closed loaves or bag ends from your line, including missing clips and blank, smudged and wrong-date prints on the bag.
- A guided bag neck: loaves presented with the closed neck towards the camera.
- The expected date: set by the PLC or recipe at every day and shift change.
- A reject route: a pusher position and a bin, or an existing reject the vision result can drive.
// On South African lines
Bread bag closure checks in South African bakeries
Bread is South Africa’s second staple after maize meal, and the baking industry produced 2.192 billion loaves between October 2023 and September 2024 (NAMC). On a plant bakery line, loaves are sliced, bagged and closed by a bag closing machine that fits a plastic bread clip or a tag on the twisted bag neck. On South African loaves the bread clip carries no date: the date is printed on the bread bag itself.
Where a date mark is given, the labelling regulations say how: it must be clearly indicated, preceded by words such as “best before” or “sell by”, and it may not be removed or altered (R146, 2010). Which marks your loaves must carry is a question for your food-law adviser; this page does not answer it. What the line can control is that every loaf leaves closed, and that the date the bakery decided to print is actually there and is today’s.
A missing clip shows up quickly in the shop as stale or spilled bread. A bag coder still set to yesterday’s date after the shift change, or one that has run out of ink, can go unnoticed for a whole run. Both are visible from outside the bag, which makes them a camera job.
What the line reports, and what the bread bag closure check covers
| What the line reports | What a station checks | Where it stops |
|---|---|---|
| “Loaves are going into the crates without a clip” | Clip or tag present on the bag neck of every loaf after the closer. | A clip that is on but has not gripped the bag tightly is not judged. |
| “The date on the bag is blank or smudged” | The date printed on the bread bag read by OCR and each character checked against the expected date. | Print on thin, creased bag film is proven on your bags before it is promised. |
| “The coder still had yesterday’s date after the shift change” | The read date compared with today’s date from the PLC or recipe. | If the expected date is set wrongly at the source, the check follows the wrong date. |
| “The bag neck turned and the clip faced down” | A clip or code that cannot be seen is reported as unreadable and rejected, not passed. | One view cannot read a clip facing away from it; bag guides keep the neck towards the camera. |
| “White bread went into the brown bread bags” | Bag print matched to the product on the colour-camera station. | The loaf inside the bag is not checked; only the bag print is compared with the recipe. |
// The complete solution
Bread bag closure inspection station: hardware, software and installation
One camera looks at the bag neck as each loaf leaves the bag closing machine. The vision software finds the clip or tag, reads the date printed on the bag, and tells the PLC, which pushes failed loaves off the conveyor and confirms they left.
[Schematic]Plan view, not to scale
Swipe sideways to see the whole drawing →
[1]: A photoelectric sensor tells the camera a loaf has arrived.
[2]: Vision sensor or colour camera with a ring light finds the clip or tag and reads the date on the bag.
[3]: A pusher moves failed loaves off the conveyor (or your existing reject).
[4]: Confirms the rejected loaf left the conveyor.
Hardware
| Component | HIKROBOT example | Role in this station |
|---|---|---|
| Vision sensor (low) | HIKROBOT SC3000-series colour vision sensor with OCR (budget priced on MV-SC3016C) | Finds the clip or tag and reads the date printed on the bag |
| Colour camera (high) | HIKROBOT MV-CS060-10GC 6 MP colour GigE camera with a 25 mm lens (MVL-HF2524M-10MP) | Sees clip colour, small print and bag print in one image |
| Processing (high) | HIKROBOT VC3000 vision controller (e.g. MV-VC3302P) running HIKROBOT VisionMaster with the deep-learning licence | Deep-learning OCR on curved, varied clip print; colour and bag checks |
| Lighting | HIKROBOT MV-LRSS-H ring light (low) or MV-LRDS-H ring light (high), aimed at the bag neck | Even light on a shiny clip and a crumpled bag |
| Trigger | HIKROBOT MV-PE photoelectric sensor, or the bag closing machine’s cycle signal | Fires the camera once per loaf |
| Reject | Not HIKROBOT: pusher with confirmation sensor and bin (high); the low configuration signals your existing reject | Removes failed loaves before the crate |
| Mounting and panel | Local supply: bracket over the outfeed, bag-neck guide, cabling, panel | Keeps the bag neck in the camera’s view |
Software and vision tools
| Tool or software | What it does here |
|---|---|
| OCR and character comparison on the vision sensor | Reads the date printed on the bread bag and compares it with the expected date. |
| HIKROBOT VisionMaster deep-learning OCR | HIKROBOT describes its deep-learning OCR as coping with complex backgrounds, low contrast and deformed characters, which is what small print on a curved clip looks like. |
| VisionMaster colour-processing tools | Colour recognition of the clip, where clip colour is part of the bakery’s code, and of the bag print. |
| Presence and pattern tools | Clip or tag present at the bag neck; bag print matched to the product recipe. |
| Recipe per product and day | Expected date and bag print per product, set by the PLC or at changeover. |
Installation and integration
01
Mounting and enclosure
Camera on a bracket just after the bag closing machine, aimed where the closed bag neck passes; a guide keeps the neck at the same place and facing the camera.
02
Lighting and shrouding
A ring light around the lens and a short shroud, so a glossy clip and crinkled film reflect the same light on every loaf.
03
Trigger and tracking
One trigger per loaf from a sensor or the closer’s cycle signal; the PLC tracks each loaf to the pusher.
04
PLC link
Pass, fail and reason over digital I/O, or over PROFINET or EtherNet/IP, which the SC3000X spec sheet lists; the PLC sends the expected date.
05
Reject and confirmation
Pusher with a confirmation sensor and a full-bin signal; if the vision system is not ready, loaves are rejected or the line is held, not passed unchecked.
06
Recipes and operator screen
Product recipes switched at changeover, and the expected date updated at the shift or day change; a screen shows the last rejected loaves with the image of the clip.
// Indicative cost in South Africa
What this station costs, excluding VAT
Indicative budget for a typical application of this kind. Every project involves custom requirements (your products, line speed, layout, PLC and acceptance criteria), so the final price differs from case to case. A firm price follows the sample test.
- Low
- R 80 000
- one vision sensor
- High
- R 540 000
- colour camera, deep-learning OCR, pusher
- Basis
- Typical application of this kind, indicative
- South African rand, excluding VAT
- Prices as at 2 October 2026
- Travel (Gauteng): outside Gauteng quoted separately
// Included and excluded
The low figure is one vision sensor checking the clip or tag and reading the date on the bag, signalling your existing reject. The high figure is still a single view, but a colour camera on a controller with deep-learning OCR for print on creased bag film, plus a new pusher reject with confirmation. With the deep-learning licence and the pusher it sits above the single-view range on the cost guide, which is why it is priced here separately. Changes to the bag closing machine, your conveyor, utilities and VAT are excluded.
Hardware is priced from public list prices converted at the ECB reference rate, plus freight, clearance and margin; engineering at R 900 – R 1 300 per hour. How these ranges are built →
Swipe the table sideways to see the high figure and the basis →
| Cost block | Low | High | Basis |
|---|---|---|---|
| Vision hardware (landed, with margin) | R 37 400 | R 77 600 | Low: one colour vision sensor with OCR and a small ring light. High: a 6 MP colour camera with lens, a larger ring light and a VC3000 controller |
| Software licence | R 0 | R 120 000 | Vision sensor software is free; high case with the HIKROBOT VisionMaster deep-learning licence for OCR |
| Local materials and reject | R 8 000 | R 80 000 | Low: bracket and cabling, signal to the existing reject. High: mounts, pusher reject with confirmation and bin, panel |
| Engineering (recipes, PLC link) | R 21 600 | R 143 000 | 24 h at R 900 to 110 h at R 1 300 |
| Installation, FAT, SAT, training, documents | R 10 800 | R 62 400 | 12 h to 48 h |
| Project management | R 3 600 | R 26 000 | 4 h to 20 h |
| Travel (Gauteng) | R 1 500 | R 4 000 | Outside Gauteng quoted separately |
| Total (rounded) | R 80 000 | R 540 000 | Low: one vision sensor. High: colour camera, deep-learning OCR, pusher |
// Related technology
Which technologies this scenario uses, and why
The technologies behind this station, how much each matters here, and where each is explained in depth.
| Technology | Role | Why it matters in this scenario | Read more |
|---|---|---|---|
| OCR/OCV of printed codes | Core | Reading the date printed on the bread bag and checking it against today’s date is the main job. | OCR/OCV inspection |
| Vision sensor (HIKROBOT SC1000–SC3000) | Core | A single fixed view at the bag neck suits a vision sensor with OCR and no PC. | Choosing a smart camera |
| Deep learning (classification, segmentation, DL OCR) | Core | Small, curved and varied clip print is where deep-learning OCR does better than rule-based OCR. | Rule-based vs deep learning |
| Colour identification | Supporting | Clip colour, where a bakery uses it as a day code, and bag print are colour checks. | Surface and colour inspection |
| Lighting technique | Supporting | Glossy clips and crinkled bags scatter light; a ring light and a shroud keep the print readable. | Machine vision lighting |
| PLC link and reject with confirmation | Supporting | Loaves follow each other closely; the right loaf must be pushed off and the reject confirmed. | PLC and reject integration |
// Acceptance
How the station is proven before handover
Every station is accepted on your products, against numbers agreed in writing before the build. How we deliver →
01
Sample test
Bagged loaves with your clips and tags, including no clip, and bags with blank or smudged print and yesterday’s date, imaged with the proposed camera and light; the result says which prints are reliably read and which are not.
02
FAT with challenge loaves
Before delivery, marked challenge samples (no clip, unreadable date, wrong date, wrong bag) must each be rejected, and good loaves of each product must pass.
03
SAT on the line
On your line, at production speed, the challenge loaves are run again, and false rejects and escapes are counted over an agreed run of production.
// FAQ
Questions about bread bag closure inspection
What does bread bag closure inspection check?
Bread bag closure inspection checks every bagged loaf after the bag closing machine: that a clip or tag is on the bag neck, and that the date printed on the bread bag is present, readable and today’s. Loaves that fail are pushed off before they reach the crates.
Can a camera read the date printed on a bread bag?
Usually, yes, when the printed area faces the camera and the print is reasonably formed. Bag film is thin, shiny and creases where the bag is gathered, so the light and the read are proven on your own bags first. Deep-learning OCR on the colour-camera station handles creased and partly broken print better than rule-based OCR.
The clip and the date are in different places on the loaf. Does one camera see both?
Often, yes: the camera looks at the closed end of the bag, where the clip sits, and the recipe reads the date from a second region of the same image when the print is near that end. If your bags carry the date elsewhere, a second view is added and priced on top of the figures on this page.
How much does bread bag closure inspection cost in South Africa?
An indicative installed budget is R 80 000 – R 540 000 excluding VAT, at 2 October 2026 prices. The low figure is one HIKROBOT vision sensor reading the clip and signalling your existing reject. The high figure is a colour camera on a controller with deep-learning OCR and a new pusher with confirmation. Both include engineering, installation, FAT and SAT in Gauteng. This is a typical application: every project involves custom requirements, so the final price depends on your products, line and acceptance criteria.
Does it work with any make of bag closing machine?
It works after the closer, whichever make it is, because it looks at the closed bag, not at the machine. The camera is mounted on the outfeed conveyor and triggered per loaf by a sensor or by the closer’s cycle signal. Nothing inside the bag closing machine is changed, and its supplier stays responsible for it.
Will it tell us if the bag is sealed properly?
No. The camera sees that a clip or tag is on the bag neck, not whether the bag is airtight or the clip grips firmly. It does not judge the bread either. It answers two questions only: is the bag closed with a clip or tag, and is the date there and correct. Those are the two bakery packaging faults a camera at the closer can see.
Sources
- NAMC: Our daily bread (2.192 billion loaves, Oct 2023 – Sep 2024; bread second staple after maize meal) (industry agency article, checked 2026-10-02)
- Regulations relating to the labelling and advertising of foodstuffs (R146, 2010), reg 12 date marking (regulation (law library copy), checked 2026-10-02)
- HIKROBOT MV-SC3013XC SC3000X vision sensor (OCR, character comparison, protocols) (vendor product page, checked 2026-10-02)
- HIKROBOT VisionMaster (deep-learning OCR) (vendor page, checked 2026-10-02)
- HIKROBOT Machine Vision Smart Product Catalog 2025Q4: VisionMaster colour-processing tools (vendor catalogue, checked 2026-10-02)
Related:
More line solutions in food and beverage:
Returnable crates →Multipacks →Can ends and dents →Juice box straws →Dairy cups →Meat tray labels →Wine labels →Sachets and pouches →Staple food bags →Egg cartons and trays →Bottled water (PET) →Food tray seal inspection →Food packaging version verification →Bakery product vision inspection →Returnable glass bottle inspection →
// Next step
Send us a bag of clips from your closer
Describe the line, the products and the fault. We test on your good and faulty samples and reply with a feasibility note and a budget.