Latest IDIS news

Customers gain from reduced liabilities as IDIS and VMI extend remote monitoring capability with deep learning analytics
Customers gain from reduced liabilities as IDIS and VMI extend remote monitoring capability with deep learning analytics

Buyers of video technology are focusing increasingly on business protocol enforcement applications, in addition to traditional security, says IDIS America and virtual guarding and monitoring service partner Virtual Management Intelligence (VMI). The two companies are working together to deliver AI-supported remote surveillance services, including business operations monitoring, in sectors such as transportation, warehousing, cannabis production, food processing, banking, and finance. Improve monitoring of vehicle safety checks In transportation, for example, IDIS video is being used by VMI to improve monitoring of 24-point vehicle safety checks which must be carried about by drivers to ensure compliance with Department of Transportation (DoT) requirements. At high-security locations such as banks, the company is helping to streamline and adhere to opening and closing protocols. And, in major industrial applications - from coffee roasting to food processing - its monitoring services are underpinning both safety and production line efficiency. Delivering enterprise-level monitoring “These are applications where customers want video technology to focus on the wider wellbeing of their business operations, and to reduce their liabilities,” says San Kim, VMI, Operations Director. IDIS Deep Learning Analytics (IDLA) to deliver enterprise-level monitoring to more customers more affordably  “Security is still a key requirement but there is a growing realisation that cameras can be used for so much more. VMI is using IDIS end-to-end video solutions, including IDIS Deep Learning Analytics (IDLA) to deliver enterprise-level monitoring to more customers more affordably,” he notes. “IDLA’s automated detection tools – including line-cross, loitering, and object detection – are taking pressure off VMI’s monitoring teams and helping them give users of all sizes access to the kind of customised 24/7 surveillance that was traditionally only available to large corporations with dedicated control room operations.” IDIS video tech “This is also helping users cut their insurance liabilities and reduce their litigation risks,” Kim adds. “Our clients can now contact any of our operators and say, ‘I had a slip in one of my lobbies. Can you back up the relevant cameras, upload the recordings to a particular folder on our FTP, send a link to the store manager, and also include it on a report to our insurers as soon as possible?” The comparatively long operational life of IDIS video tech, its straightforward maintenance and upgrade paths, along with its ease of use for VMI’s customers, are also proving to be valuable in reducing the company’s trouble-shooting workload. Offering video monitoring solutions “Compared to alternative mix-and-match solutions that we’ve tried, the IDIS end-to-end, single supply model is more cost-effective to operate and maintain,” Kim points out. However, he warns against the industry over-promising when it comes to the capabilities of deep learning analytics. “For the video sector as a whole, the challenge now is to focus on applicable solutions that work in real life. We’ve already proven that our deep learning engine is solid, we now need to look at how best to use the level of accuracy we’ve developed.” “We are working closely with VMI to offer some of the best value video monitoring solutions available, not just for security purposes but for much wider business applications, as well,” says Jason Burrows, Sales Director, Western U.S., IDIS America. “Looking ahead, we see exciting opportunities for deep learning analytics to be closely customised to solve the specific problems of individual customers.”

IDIS launches a tech-explainer eBook on video analytics to better security, safety and business intelligence
IDIS launches a tech-explainer eBook on video analytics to better security, safety and business intelligence

IDIS’s latest tech-explainer eBook – The Benefits of Deep Learning Driven Intelligent Video Analytics – explores how a new generation of AI video solutions is delivering better security, safety, operational efficiency, and business intelligence. The eBook, which can be downloaded now from the IDIS website, reflects the company’s commitment to supporting its systems integrator partners as they focus on delivering advanced video solutions into growth sectors. Modern network cameras In recent years, the terms ‘intelligent’ and ‘artificial intelligence (AI)’ have been applied to many different types of security system, but without agreement on what AI means, says IDIS, so it’s important to understand that not all solutions are designed to the same standard or deliver equal value. The new eBook explains some of the differences between conventional ‘blob’ analytics - found in most modern network cameras and relatively prone to false-alarm triggers caused by environmental factors - and more powerful deep learning technologies. This newest generation AI solutions leverage neural networks made up of multiple layers of algorithms and advanced processing and can be more accurately called ‘intelligent’ video analytics. Deep learning video solutions Metadata search functions also allow users to benefit from advanced interrogation of single and multiple cameras Deep learning’s real value comes from its ability to detect events of interest and distinguish these from video data input which is just ‘noise’. But some caution is still needed, warns IDIS: deep learning video solutions can still disappoint if the engines and algorithms that drive them are not fully trained and able to recognise objects reliably and accurately. By contrast, effective deep learning video analytics can deliver multiple benefits, from preventing ‘alarm overload’ in busy security control rooms, to freeing up personnel resources and enabling security provision to be better focused. Metadata search functions also allow users to benefit from advanced interrogation of single and multiple cameras, speeding up investigations and automatically locating objects or people of interest. Face mask detection The eBook also outlines how AI video can support efficient return-to-work strategies and ensure COVID-secure facilities and workplaces using highly accurate analytics for face mask detection, social distancing adherence, people counting, and occupancy monitoring. Guidance is also provided for systems integrators, demonstrating how the same functionality will deliver value beyond the pandemic, with benefits such as facilities and workspace optimisation, and actionable insights, particularly for the retail and hospitality sectors. “The best AI offerings today add value for customers by rapidly increasing productivity and efficiency, and providing useful business intelligence,” says James Min, Managing Director, IDIS Europe. “This new eBook explains how systems integrators can get past the jargon to support end-users, building a compelling business case that both addresses immediate priorities and demonstrates long term return on investment.”

IDIS suggests users to use their fingerprint algorithm to protect the integrity of the recorded video
IDIS suggests users to use their fingerprint algorithm to protect the integrity of the recorded video

Growing concern about deep-fake videos will make it increasingly important to be able to demonstrate the integrity of video evidence, warns South Korea’s largest in-country video tech manufacturer IDIS. Rapid advances in digital video manipulation techniques, and a rise in alleged deep-fake celebrity videos being reported in the news, will put pressure on both video tech users and on prosecutors to demonstrate the integrity of any footage they use. Internal disciplinary proceedings “As we look ahead, wherever video is presented for use as legal evidence, or as part of internal disciplinary proceedings, we will see more attempts to assert that footage is not genuine. Courts will dismiss evidence where tampering cannot be ruled out,” says Dr. Peter Kim, Global Technical Consultant, IDIS. It will be vital that users can demonstrate beyond doubt that their footage has not been tampered" “Any challenge to the integrity of video evidence, if not countered, risks undermining the value of the entire video solution. This is particularly true in applications where investigating and prosecuting wrongdoing is a key function of the camera system. So, it will be vital that users can demonstrate beyond doubt that their footage has not been tampered with in any way.” IDIS, which supplies complete, end-to-end video solutions for applications ranging from high-risk critical infrastructure to commercial settings, has created protection of video footage integrity through its patented Chained Fingerprint™ algorithm. Exported video data IDIS recorders use Chained Fingerprint to ensure the integrity of the recorded and exported video data. Each frame is assigned a unique numerical ‘fingerprint’, calculated by relating its own pixel value to the fingerprint of the previous frame. This means that every single image frame of the video is linked by an encryption ‘chain’ with its neighbouring image frames. The encrypted chain is stored as part of the video data when the video is recorded or exported as a video clip using the IDIS ClipPlayer. Before playback, the ClipPlayer scans video and recalculates the fingerprint chains of the video data. If any part of the image frame is tampered with, the fingerprint chain will be broken and will not match the chain value calculated at the time of video export, prompting a flag. “As organisations look to upgrade or invest in new video solutions, protecting themselves against claims of video evidence tampering should be high on their priority list,” Kim adds.