New research from Copyright Licensing Agency (CLA) reveals that creatives including authors, photographers and visual artists are conflicted about whether generative artificial intelligence (AI) is a good thing for their livelihoods and the wider UK creative economy.
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.
ONVIF agrees with OSSA to take over standardising descriptive data generated by IoT devices
Jan 02, 2024
ONVIF, the open industry forum supporting standardised communications between IP-based physical security products, has entered into an agreement with the Open Security & Safety Alliance (OSSA) to take over development of data ontology and metadata specifications.
Iristick: Smart Glasses Built for Every Industry
Dec 20, 2023
By Jessica Foo, EMEA-region Software Sales Manager at Code.
Future-forward beats the fashion-forward with Iristick, Europe’s top smart glasses. Thanks to Code’s CortexDecoder SDK, these glasses offer pick-by-vision and hands-free barcode scanning. Take a look at Iristick!
More retailers set to adopt AI to increase profits and reduce food waste in 2024
Dec 20, 2023
AI adoption will grow in 2024 as more retailers turn to the technology to boost promotions, increase profits, and reduce food waste, according to Tommi Vilkamo, Director of RELEX Solutions, provider of unified supply chain and retail planning solutions.
LogRocket ‘reinvents how digital product teams create ideal experiences’ with release of Galileo AI
Dec 18, 2023
LogRocket has released Galileo AI, claimed to reinvent how digital product teams create ideal user experiences.Utilising the vast amount of product experience data already captured by the LogRocket platform, Galileo AI surfaces the most impactful, actionable areas of user struggle and key behaviour patterns, guiding product teams on where to invest for maximum return in minimising user friction.
What is a digital twin and why does it matter?
Dec 18, 2023
Digital twin technology represents a quicker and more cost-effective route to market for new products. It is one of the fastest growing segments in engineering, with analysts McKinsey & Co forecasting that the global market for digital twin tech will grow by about 60 percent annually, reaching USD 73.5 billion by 2027.
JavaScript Breaks Data Out From Bar(codes)
Dec 14, 2023
By Steve Pierce - Firmware Engineering Manager at Code.
Code’s Firmware Engineering Manager explains how JavaScript is an ideal (but overlooked) tool that breaks out data from behind bar(codes). Code’s JavaScript-based devices can be repurposed for new workflows, parse for specific data and more.
Scientific researchers demand more than chat from AI, new research reveals
Dec 12, 2023
Some 57% of AI users are not fully satisfied with the tool they use, according to a new study by Iris.ai of over 500 corporate research professionals, aimed at assessing their use of AI in their research and the challenges they face in doing so. The research found that the most prominent tool for assisting in research is currently ChatGPT, employed by 89% of AI users, suggesting that chat functions with AI tools may not be solely suitable for aiding scientific researchers.
What is Industry 4.0?
Dec 07, 2023
By Paul Garcia - Marketing Content Specialist at Code.
Make Industry 4.0 your business! Industry 4.0 is changing how companies produce & what consumers buy with the help of data capture and barcode readers. Explore the opportunities and how Code can help.
WatchGuard Threat Lab analysts release 2024 cybersecurity predictions
Dec 05, 2023
WatchGuard Technologies has released its 2024 Cybersecurity Predictions. WatchGuard’s latest annual batch of predictions covers the most prominent attacks and information security trends that the WatchGuard Threat Lab research team believes will emerge in 2024.
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.
