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Scan-Optics

Scan-Optics is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Scan-Optics rather than just read about it. In short: Scan-Optics LLC is an American document imaging company that provides enterprise content management, optical character recognition (OCR) software, and image scanner manufacturing. The company is headquartered in Manchester, Connecticut.

Key takeaways

  • Scan-Optics belongs to computer science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Scan-Optics to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Scan-Optics from memory before moving on to harder problems.

Reference excerpt

Scan-Optics LLC is an American document imaging company that provides enterprise content management, optical character recognition (OCR) software, and image scanner manufacturing. The company is headquartered in Manchester, Connecticut. Scan-Optics' records management, information, data remanence, data backup and data recovery services are supplied to government and business customers throughout North America and Europe, while its industrial high-speed digital imaging and OCR SO-series scanners are being used worldwide.

History and technology Scan-Optics was founded in 1968 by four Connecticut men with financial backing from The Travelers Companies. Its goal of developing the brand-new and barely functioning optical character recognition (OCR) technology. Scan-Optics was one of the technology groups enabling the transition from paper to digital. Scan-Optics developed the image dissector tube and made it commercially available, pioneered an alphanumeric handwriting recognition system, and introduced key data entry integrated with optical character recognition via a direct computer-to-computer link to accomplish image reject repair. In a 1997 study, Doculabs classified Scan-Optics' intelligent character recognition (ICR) as "a significant improvement over standard ICR technology" - in tests using 3,400 forms completed from a national sample of the general population, only Scan-Optics' ICR technology yielded a field read rate accuracy of approximately 90%. By 2013, Scan-Optics' developments included acoustic double page detection, context edit, the integration of magnetic ink character recognition (MICR) and barcode reading into the recognition system and the introduction of grayscale capability in OCR.

References

Further reading

Worked examples

Example 1 — a first encounter with Scan-Optics

Start with the simplest possible case. Write down what Scan-Optics claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Scan-Optics before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Scan-Optics ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Scan-Optics

In research
Scan-Optics appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Scan-Optics in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Scan-Optics is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1968 establishments in Connecticut, Cloud storage, Companies based in Manchester, Connecticut, so understanding it makes those chapters shorter.
In everyday life
Look for Scan-Optics outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Scan-Optics in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Scan-Optics means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Scan-Optics out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Scan-Optics in simple terms?

Scan-Optics LLC is an American document imaging company that provides enterprise content management, optical character recognition (OCR) software, and image scanner manufacturing. The company is headquartered in Manchester, Connecticut.

Why does Scan-Optics matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Scan-Optics?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Scan-Optics.

Tags

  • 1968 establishments in Connecticut
  • Cloud storage
  • Companies based in Manchester, Connecticut
  • Computer companies of the United States
  • Computer hardware companies
  • Computer storage companies
  • Electronics companies established in 1968
  • Software companies of the United States
  • Storage companies

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