With VeriGO MobileID, users can carry all their important ID documents wherever they go – digitally, securely and conveniently. Government authorities can now offer their citizens a modern and convenient way to manage all government documents on their smartphones. The goal is to create a new level of security for public and private use cases through efficient and digital verification processes.

Whether checking into a hotel, travelling or renting a car, verifying one’s identity with official ID documents is an integral part of our everyday lives. Instead of continuing to rely solely on physical documents and their security features for identification, VeriGO MobileID’s innovative technology relies on unique encryption processes that allow the authenticity of a document to be verified quickly, easily and electronically.

Designed as a mobile-first solution, the application requires only a smartphone or tablet and is not dependent on an internet connection. With VeriGO MobileID, users can conveniently store all forms of traditional physical ID documents such as driver’s licenses, health insurance cards or ID cards in a secure environment. Veridos presents a comprehensive digital solution that combines all types of digital proof of identity and is available to users anytime, anywhere. Prioritizing privacy and data protection needs, citizens are free to decide the private data they want to share, when and with whom. For example, if only proof of age is required, the rest of the ID, including address and other information, can remain private.

“VeriGO MobileID allows users to carry all their important personal documents directly on the device they use the most every day – their smartphone,” says Nicholas Larter, Senior Solution Manager at Veridos. “The digitalization of proof of identity as an extension to physical documents will simplify many processes in our daily lives. With VeriGO MobileID, citizens can carry all important documents digitally and securely at all times and control what personal data they want to share with whom and when.”

With VeriGO MobileID, users can carry all their important ID documents wherever they go – digitally, securely and conveniently.

Motorola Solutions je preuzela Noggin, globalnog ponuđača cloud softvera za kontinuitet poslovanja, operativnu otpornost i upravljanje kritičnim događajima (CEM). Kompanija ima sjedište u Sydneyju u Australiji i globalnu bazu klijenata.

Nogginov softver pomaže kompanijama i kritičnoj infrastrukturi da predviđaju, pripremaju se i efikasno odgovore na incidente. Integrisana platforma nudi fleksibilne tokove rada i kontrolne liste, ugrađene mape i kontrolne table za situacijsku svjesnost kako bi se pojednostavilo upravljanje incidentima i ojačala otpornost poslovanja.

S jednim jednostavnim interfejsom, Nogginov softver omogućava službama da međusobno komuniciraju, slijede jedinstvene procedure i gledaju istu operativnu sliku tokom svakodnevnih incidenata ili vanrednih situacija.

“Naše tehnološke investicije za povezivanje onih u potrebi s onima koji im mogu pomoći su kritičnije nego ikada”, rekao je Greg Brown, predsjednik i izvršni direktor Motorola Solutionsa. “Noggin omogućava operativnu otpornost i mogućnosti upravljanja incidentima koje su esencijalne kako industrije širom svijeta nastavljaju suočavati se s prijetnjama koje rastu u broju i složenosti.”

Prema kompaniji, Nogginov softver smatraju odličnom dopunom Motorolinog portfolija rješenja za koordinaciju u hitnim slučajevima. Preuzimanje Noggina dodatno jača Motorolinu sposobnost da poveže agencije za javnu sigurnost i kompanije, omogućujući saradnju koja je kritična za proaktivniji pristup sigurnosti.

“Zajedno s Motorolom nastavit ćemo pomagati kompanijama da brzo odgovore i upravljaju svim vrstama nepovoljnih događaja i incidenata”, rekao je James Boddam-Whetham, izvršni direktor Noggina. “Oduševljeni smo ovim novim korakom na našem putovanju koji će nam omogućiti da naša rješenja ponudimo proširenoj bazi klijenata.”

Aritificial intelligence is accelerating into our lives at a rapid rate of knots, and as the technology develops and is implemented into almost everything we do, there are questions being raised about its use and suitability.

Some of these questions involve critical legal opinion and a case in point here is, whether patents should be allowed for inventions that have been AI-generated – it seems that a high court in Germany has just approved patent protection for such an invention, whereas earlier this year, according to the University of Surrey, both the UK and US courts have ruled against it.

Inventions generated by artificial intelligence can be patented, rules the Bundesgerichtshof, Germany’s highest civil court. This now resolves a split between German federal appellate courts.

The case is part of the Artificial Inventor Project – a global initiative to attempt to patent AI-generated output, led by Professor Ryan Abbott from the University of Surrey.

The German decision stands in contrast to similar cases brought forward by Professor Abbott and his team in jurisdictions such as the United States, which require a natural person – a human being – to make a substantial contribution to an invention for the invention to be patentable. Earlier this year, the United Kingdom Supreme Court ruled that if an AI generates an invention, it is inherently unprotectable.

Professor Abbott welcomed the decision and said: “The Bundesgerichtshof has confirmed that an AI-generated invention is protectable and that a natural person can be named as an inventor even if AI has been used to generate the invention. An AI generating an invention does not justify the rejection of a patent application.

We have all seen just how quickly generative AI products have developed over the past two years, and it’s critical that our laws are updated to keep up with unprecedented changes that these technologies will bring.”

The patent, in this case, is for a food container designed using fractal geometry, which involves complex patterns that repeat at different scales. This container was created by an artificial intelligence named DABUS, which stands for “device for the autonomous bootstrapping of unified sentience.”

Hospitals are turning to video technology to enhance patient care and safety with the rising demand for health care services and the ongoing battle against staffing shortages. However, hospitals looking to expand their video technology must ensure their surveillance systems are compliant with the Health Insurance Portability and Accountability Act (HIPPA).

Being HIPAA compliant helps protect patient privacy and safeguard sensitive health information. This is non-negotiable in today’s digital age. With the increasing adoption of health care video analytics and artificial intelligence (AI) technology, it’s more crucial than ever to strike the right balance between leveraging technology and maintaining HIPAA compliance.

HIPAA compliance in video surveillance

HIPAA extends beyond paperwork and digital records — its regulations include video surveillance and electronically protected health information (ePHI) in health care settings.

While HIPAA does not specifically address video surveillance, its requirements for privacy and security of PHI affect how it should be implemented. This means anything that could identify a patient, whether their name, medical history or face in a video, falls under HIPAA’s watchful gaze.

Now, when thinking about bolstering a hospital’s video technology, ensuring that video surveillance systems play by HIPAA’s rules is essential. This involves verifying that cameras, recording devices and any health care video analytics tools that might be used are all HIPAA-compliant.

Video analytics in health care systems must be set up in a way that protects patient privacy at every turn. Some ways include encrypting recorded footage, restricting access to authorised personnel or blurring out identifying features.

HIPAA requirements in video surveillance

The following practices help ensure video technology usage complies with HIPAA’s overarching goals:

• Limiting PHI exposure: Place video surveillance in a way that reduces the possibility of collecting PHI unless necessary for a specific, justifiable purpose. Some settings to avoid include places where PHI is likely to be accessible or discussed, such as treatment areas or screen displays.
• Access control: Access to video material should be managed and limited to authorised personnel only. This aligns with HIPAA’s mandate to create technical policies and procedures restricting ePHI access to authorised individuals.
• Encryption and security: Video data should be encrypted in transit and at rest, mainly if it could capture PHI. Encryption keys should protect against unauthorised access, tampering and loss.
• Data retention and disposal: Set up policies for video footage retention and disposal. This security measure ensures it’s kept no longer than necessary and disposed of securely to prevent unauthorised access to PHI.
• Breach notification: If a breach occurs, then facilities must reference the HIPAA Breach Notification Rule. This rule requires you to notify affected individuals, the Department of Health and Human Services (HHS) and, in some cases, the media.
• Training and policies: Staff should be trained on proper video surveillance system usage. Additionally, you should set up policies regarding using, accessing and monitoring video surveillance to protect PHI.
• Physical safeguards: Camera placement and the physical security of the video surveillance system should be considered to prevent unauthorized viewing or tampering.

Adopt best practices for the use of video analytics

Beyond the foundational HIPAA considerations, there are additional best practices to consider. With these concerns in mind, hospital administrators can improve compliance, protect patient privacy and use video surveillance technology effectively and ethically.  Eight of the most important best practice tips to consider should include, vendor agreements, regular audits and assessments, an incident response plan, notice of privacy practices, consent and signage, state laws and regulations, integration with other security measures, and, training and awareness – proper ongoing programmes that include the importance of patient privacy and the legal requirements surrounding PHI, should be organised for staff about the proper usage of video surveillance systems

AI and HIPAA compliance in health care

Technology continuously evolves and we’ve seen increasing usage of artificial intelligence (AI). But how is AI used in health care? How is it used for video surveillance in health care settings?

Imagine having a virtual assistant that constantly watches over your video footage, analyzing it in real-time to flag any potential HIPAA violations. That’s where AI-driven analytics come in. These algorithms can automatically detect and redact sensitive information from your surveillance footage. This helps ensure that only authorised personnel can access it.

However, in addition, with AI-powered remote monitoring solutions, surveillance cameras can be monitored from anywhere, anytime, from your device. These AI solutions help streamline surveillance operations and allow for quick response to incidents or security breaches.

Health care facility’s could view an AI security system as a high-tech upgrade that can help automate compliance tasks, improve data security and streamline surveillance operations.

As many as 30% of road crashes across Europe are weather related, underscoring the challenges faced by traffic operators and drivers alike. Citilog’s Automatic Incident Detection (AID) tackles these challenges. AID is an AI-powered system that utilises deep learning algorithms trained on a massive dataset of real-world incidents, including those with adverse weather conditions.

According to Tagmaster company, Citilog, sometimes other AI incident detection systems lack this important distinction, with performance degrading in poor weather just when they are needed most. Without a way to filter out rain and snow, real incidents are missed, and false alarms can overwhelm operators.

With deep learning, the AID algorithm is trained to recognise weather and discard these non-incidents, reducing false positives by a factor of 10. This allows the system to detect real incidents quickly and accurately, such as crashes and road hazards as they happen, even when visibility is impaired.

AID provides traffic operators with real-time information about incidents through alerts and visual displays. This helps them understand the severity of the situation quickly and make informed decisions about deploying resources and managing traffic flow.

These accurate and timely incident alerts reduce the workload on operators and enable them to focus on genuine problems requiring attention. Most importantly, early detection of incidents translates to faster response times for emergency services, reducing secondary accidents and potentially saving lives.