Information and Communication Technology - 0417 CIE

Recognition Systems

Bayani Gaba-gaba

Every time a car park barrier lifts on its own, a register is marked without a teacher tapping a keyboard, a passport gate reads a chip from across the desk, or a phone is unlocked by a glance, a recognition system has quietly turned something physical, a mark, a character, a tag, a face, into data a computer can act on. These systems remove the slow, error-prone step of a human typing data in.

This lesson sorts out the main recognition technologies the syllabus names: OMR, OCR, RFID, NFC and biometrics. For each you will learn what it captures, how it recognises the data, where it is used, and its honest advantages and disadvantages. By the end you will be able to pick the right technology for a situation, from marking exam papers to tracking livestock, and justify the choice the way an examiner expects.

Manufura

  1. Recognition systems.
  2. Characteristics, uses, advantages and disadvantages of: Optical Mark Recognition (OMR) including school registers, multiple-choice examination papers, barcode, QR code Optical Character Recognition (OCR) including automated number plate recognition (ANPR) systems Radio Frequency Identification Device (RFID) including tracking stock, passports, automobiles, contactless payment Near Field Communication (NFC) including payment using a smartphone Biometric recognition including face, iris, retina, finger, thumb, hand, voice.

Takardar Darasi

Keying data in by hand is slow and full of mistakes. Recognition systems let a machine read the data directly, so a thousand exam papers, a warehouse of stock or a queue of cars can be processed quickly and accurately. Cambridge expects you to know each named technology, the device it uses, and the trade-offs, because exam questions usually ask you to choose between two of them and justify your choice.

Akwai a cikin manhajar Green Bridge

Zazzage manhajar Green Bridge CBT a wayar ka ko kwamfyuta ka don samun cikakkiyar bayanan darasi, tambayoyin aiki, da ƙari.

Cikakkiyar bayanan darasi tare da zane-zane
Mataimakiyar koyo da AI
Yi karatu ba tare da intanet ba, a kowane lokaci, a ko'ina
Akwai a Android, Windows, macOS, da Linux

Nazarin Darasi

Barka da kammala darasi akan Recognition Systems. Yanzu da kuka bincika mahimman raayoyi da raayoyi, lokaci yayi da zaku gwada ilimin ku. Wannan sashe yana ba da ayyuka iri-iri Tambayoyin da aka tsara don ƙarfafa fahimtar ku da kuma taimaka muku auna fahimtar ku game da kayan.

Za ka gamu da haɗe-haɗen nau'ikan tambayoyi, ciki har da tambayoyin zaɓi da yawa, tambayoyin gajeren amsa, da tambayoyin rubutu. Kowace tambaya an ƙirƙira ta da kyau don auna fannoni daban-daban na iliminka da ƙwarewar tunani mai zurfi.

Yi wannan ɓangaren na kimantawa a matsayin wata dama don ƙarfafa fahimtarka kan batun kuma don gano duk wani yanki da kake buƙatar ƙarin karatu. Kada ka yanke ƙauna da duk wani ƙalubale da ka fuskanta; maimakon haka, ka kallesu a matsayin damar haɓaka da ingantawa.

  1. Which recognition system reads the positions of shaded boxes on a pre-printed form? A. OCR B. OMR C. RFID D. NFC Answer: B
  2. Automated Number Plate Recognition (ANPR) mainly relies on: A. OMR B. RFID C. OCR D. Biometrics Answer: C
  3. Which statement about RFID is correct? A. It always needs line-of-sight B. Only one tag can be read at a time C. No line-of-sight is needed and tags can be read in bulk D. Tags can never be written to Answer: C
  4. NFC payment between a phone and a terminal works over a distance of about: A. 5 cm B. 5 metres C. 50 metres D. 500 metres Answer: A
  5. Which biometric uses the unique pattern of blood vessels at the back of the eye? A. Iris recognition B. Face recognition C. Retina recognition D. Voice recognition Answer: C

Akwai a cikin manhajar Green Bridge

Zazzage manhajar Green Bridge CBT a wayar ka ko kwamfyuta ka don samun cikakkiyar bayanan darasi, tambayoyin aiki, da ƙari.

Cikakkiyar bayanan darasi tare da zane-zane
Mataimakiyar koyo da AI
Yi karatu ba tare da intanet ba, a kowane lokaci, a ko'ina
Akwai a Android, Windows, macOS, da Linux

Akwai a cikin manhajar Green Bridge

Zazzage manhajar Green Bridge CBT a wayar ka ko kwamfyuta ka don samun cikakkiyar bayanan darasi, tambayoyin aiki, da ƙari.

Cikakkiyar bayanan darasi tare da zane-zane
Mataimakiyar koyo da AI
Yi karatu ba tare da intanet ba, a kowane lokaci, a ko'ina
Akwai a Android, Windows, macOS, da Linux

Yi Aikin Tambayoyin Gwaji

Kana son yin aikin tambayoyin gwaji kan Recognition Systems? Sauke manhajar Green Bridge CBT don samun tambayoyin gwaji da cikakkun jarrabawa akan wannan batu.

Sauke Manhajar Daga Google Playstore

Duk abin da kake buƙata don yin fice a JAMB, WAEC & NECO.

Green Bridge CBT Mobile App
Keɓantaccen Mataimaki na Tattaunawa na Koyo na AI
Dubban Tambayoyi na JAMB, WAEC & NECO na Baya.
Fiye da Lura-Luran Darussa 1200
Tallafin Wajen Layi - Koyo Kowane Lokaci, Ko'ina
Jadawalin Gadar Kore.
Takaitaccen Bayanin Adabi & Tambayoyin Da Za Su Iya Tashi
Bibiye Ayyukanka da Ci Gaban Ka
Cikakken Bayani don Koyon Fahimta.