By Anthony Lamoureux, CEO of Velocity Smart Technology.
In 2023, the worldwide smart vending market underwent significant growth reaching a valuation of USD 2.1 billion (£1.6 billion).This surge not only underscored the increasing prevalence of smart vending machines but also projected a substantial expansion, with the market expected to almost triple by 2028.
Data Capture, AIDC & RFID
Data capture is the process of extracting information from any type of document, whether paper or electronic, and converting it into a format that can be read by a computer. This information can then be used for a variety of purposes, such as data analysis, decision-making, and process improvement. These articles relate to Automatic Identification (AIDC), Data Capture and data capture devices. They include barcodes, biometrics, RFID (Radio Frequency Identification), id card printers, chipped passports, magnetic stripes, smart cards, OCR (Optical Character Recognition) and voice recognition.
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Data capture
Data capture is the process of extracting information from paper or electronic documents and converting it into a machine-readable digital format. It is the first step in the data management process, and it is essential for businesses of all sizes.
There are many different methods of data capture, including:
- Optical character recognition (OCR): This is a technology that uses software to convert text from images into machine-readable text.
- Barcode scanning: This is a technology that uses a scanner to read barcodes and convert them into machine-readable data.
- Form digitization: This is a process of converting paper forms into electronic forms that can be easily scanned and processed.
- Image recognition: This is a technology that uses software to identify objects and patterns in images.
Data capture can be used in a variety of industries, including:
- Healthcare: Data capture is used to extract information from medical records, insurance claims, and other documents.
- Logistics: Data capture is used to track shipments, manage inventory, and process orders.
- Finance: Data capture is used to process financial transactions, manage customer accounts, and generate reports.
- Manufacturing: Data capture is used to track production data, manage quality control, and comply with regulations.
Automatic Identification
Automatic Identification (AI) is a broad term that refers to the methods of automatically identifying objects, collecting data about them, and entering them directly into computer systems, without human involvement. Technologies typically considered as part of AI include QR codes, bar codes, radio frequency identification (RFID), biometrics (like iris and facial recognition system), magnetic stripes, optical character recognition (OCR), smart cards, and voice recognition.
In the context of maritime navigation, Automatic Identification System (AIS) is a specific type of AI technology that is used to track the location and movement of ships. AIS devices transmit a ship's position, speed, course, and other information over VHF radio waves. This information can be picked up by other ships, shore stations, and satellites, which allows for real-time tracking of ships' movements.
AIS has a number of benefits, including:
- Increased safety: AIS can help to prevent collisions by providing real-time information about the location and movement of ships.
- Improved efficiency: AIS can help to improve the efficiency of shipping by providing information about traffic conditions and routing options.
- Enhanced security: AIS can help to improve security by providing information about the identity and cargo of ships.
AIS is a valuable tool for maritime safety and security. It is becoming increasingly widespread, and is now required for most large ships.
Here are some of the specific uses of AIS:
- Collision avoidance: AIS data can be used to create electronic charts that show the location and movement of ships. This information can be used by ships' crews to avoid collisions.
- Vessel traffic management: AIS data can be used by VTS (Vessel Traffic Service) operators to monitor and manage traffic in busy waterways. This helps to ensure the safe and efficient flow of traffic.
- Search and rescue: AIS data can be used to track the location of vessels in distress. This information can be used to coordinate search and rescue operations.
- Environmental monitoring: AIS data can be used to track the movement of ships that are carrying hazardous cargo. This information can be used to assess the risk of environmental pollution.
