March 28, 2025 - securitylinkindia

Consistent Info systems Launches New 2MP Wi-Fi Smart Dual Light Camera – The Perfect Blend of Security and Convenience

MassMediaLink India LLP SecurityLink IndiaMarch 28, 2025March 28, 202505 mins

Consistent Infosystems better known as Consistent, one of India’s fastest-growing IT & Surveillance brands has unveiled its latest innovation in smart home security – the 2MP Wi-Fi Smart Dual Light Camera. The new camera offers seamless monitoring via mobile and PC software, ensuring that users can stay connected to their premises anytime, anywhere. Its pre-recorded voice alarm acts as a deterrent for potential intruders, while the 355° horizontal rotation and 110° vertical tilt provide comprehensive coverage of your surroundings. Additionally, the 6 preset points for location tracking ensure quick and easy navigation to key areas. With smart human and motion detection coupled with mobile notifications, the camera ensures real-time alerts for enhanced security. Its integration with Alexa adds a layer of convenience, enabling voice-controlled operations for tech-savvy users. The device supports a Micro SD card for local storage and features an impressive 10x digital zoom, making it a powerful tool for both residential and commercial surveillance needs. The built-in microphone and speaker enable two-way audio intercom, allowing users to communicate directly through the camera. Delivering high-definition clarity at HD (1280×1080) 2MP, the camera is equipped with 3D digital noise reduction for superior image quality. Furthermore, its three night vision modes and four privacy zones provide flexibility for nighttime monitoring and safeguarding private spaces. Compact and lightweight with dimensions of 108x69x69mm3 and a gross weight of 245gms, the camera is designed for easy installation and portability. With the launch of our 2MP Wi-Fi Smart Dual Light Camera, we aim to bring advanced surveillance technology to every home and business. This product embodies our commitment to innovation, affordability, and user-centric solutions for enhancing security and peace of mind The 2MP Wi-Fi Smart Dual Light Camera is now available through Consistent’s extensive dealer network and e-commerce platforms, ready to empower users with stateof- the-art security technology at an unbeatable price point. Consistent Infosystems is a leading provider of IT hardware products, Security & Surveillance products, Print consumables products, and Electronics & Home entertainment products in India. It started its glorious journey back in the year 2011 from the Capital city of India, New Delhi. Since the venture started, CONSISTENT Infosystems has become one of the fastest-growing Indian IT organizations in the era of technology and has already put its remarkable footprints in the Information Technology, Electronics & Home Entertainment industries. Recently, CONSISTENT has been recognized as the “Fastest Growing Indian CCTV Brand 2024 & Most Innovative Design Gaming Cabinet 2024” by Digital Terminal. CONSISTENT Infosystems has grown successfully over the years and has increased its footprint across all major states in India. Today the company has 24+ branches, a portfolio of 400+ products, 100+ Service centers, 300+ direct employees, exports to 9+ countries, more than 3500+ channel partners PAN India and more than 5 Crore+ Happy Customers. Quality and Service are the only modus operandi for CONSISTENT and with these parameters in sync, the brand has defined the working ethics of the organization nationally as well as on a global level. Read More

Canon Celebrates the Transformative Journey of Parivali Village Under its ‘Adopt A Village’ Initiative

MassMediaLink India LLP SecurityLink IndiaMarch 28, 2025March 28, 202509 mins

Notable developments witnessed in the village across the four areas of Education, Eye Care, Environment and Empowerment along with infrastructure improvements Reinforcing its dedication to community development, Canon India marked four years of its adoption of Parivali Village, Bhiwandi, Maharashtra, the seventh village under its ‘Adopt a Village’ initiative. The celebrations were kicked off by Toshiaki Nomura, President & CEO, Canon India, who inaugurated the newly constructed rainwater harvesting facility & recharge pit to address the foreseeable issue of declining water levels in the regions of Maharashtra. Furthermore, these sustainable, cost-effective and eco-friendly solutions will meet the demands of water required by the school for toilet facilities, cleaning the school premises and ensuring watering of the plantation. With a larger aim of providing quality education, as a part of its 4Es policy, Canon India has facilitated enrolment of total 594 students through its focused initiatives at the Resource Centre and Computer Classes. Notably, the school was twice recognised by Maharashtra Chief Minister’s ‘My School, Beautiful School’ campaign for overall development. Further strengthening the local infrastructure, Canon has made significant contributions to the establishment of drinking water stations, construction of toilets for boys and girls, and setting-up of a functional library. Additionally, 354 students have benefitted from skill-based training programs aimed at improving employability and self-reliance. Through the establishment of the ‘Vision Centre,’ the facility has provided over 4174 community people with timely eye camps and check-ups. Subsequently, fostering efforts towards a healthy environment, a total of 1685 trees have been planted, and further with the support of the village residents has conducted regular cleanliness drives. Speaking on the four year journey with Parivali Village, Toshiaki Nomura, President & CEO, Canon India said, “At Canon, holistic development of the villages is at the core of our flagship project ‘Adopt a Village,’ which is paramount for a self- sustained nation. The remarkable progress of Parivali Village over the past four years stands as a powerful reminder of the difference we can make through our collective efforts. By providing the village with essential resources and imparting critical skills, we have not only empowered a community but also deepened our commitment to sustainable progress. The positive changes witnessed in Parivali have deeply inspired me, and strengthened our resolve to shape a better future, fostering growth and ensuring brighter opportunities for them.” Along with ‘Adopt a Village’ project, the organization also launched the Skill Development and Livelihood programme last year in alignment with the Skill India mission. The project demonstrates Canon India’s commitment to contributing to Indian society by uplifting youth aged 18-25 years, living in urban slums by preparing them for seamless placement in customer-centric, grey-collar jobs, ensuring a pathway to stable and meaningful employment. As a significant impact, the program has enrolled 541 youth so far with 234 youth placed in jobs doubling their family income. Since the launch of the ‘Adopt a Village’ initiative in 2012, Canon India has been undertaking the overall development of villages across India for a certain period. The initiative has brought a widespread impact in the last decade through its 4Es CSR policy as well as infrastructural development, in the adopted villages. At present, Canon India has a total of 9 adopted villages which includes Nandrampur Bass in Haryana, Parivali in Maharashtra, Annadodi in Karnataka, and Kalyanpur in Kolkata. About Canon’s corporate philosophy ‘Kyosei’ Canon India’s CSR endeavors are driven by their corporate philosophy of ‘Kyosei,’ which indicates the ‘spirit of living and working together for the common good,’ which is considered foremost in the organization’s way of working and day-to-day operations. However, their definition of the word is much broader and encompasses, “All people-regardless of their race, religion or culture, harmoniously living and working together for the common good.” Moving forward with this philosophy, they believe in standing in unison when it comes to their commitment to the community and strive to make a positive impact in the society and the environment. The organization is involved in various community welfare programs aligned with their 4Es CSR policy implying Education, Eye Care, Environment and Empowerment, to build progressive self-reliant communities. Toshiaki Nomura, President & CEO, Canon India interacts with the childrenof Parivali Village, Maharashtra, seventh village under Canon India’s‘Adopt a Village’ initiative. About Canon India Canon India Pvt. Ltd. is the sales and marketing subsidiary of Canon Inc., a world leader in imaging technologies. Having started its operations in 1997, Canon India markets a comprehensive range of sophisticated contemporary digital imaging products and solutions in India. The company today has offices in 10 cities across India with merchandise warehousing facilities at 4 location and employs over 1000 staff and over 850 channel partners. Canon India enjoys a vast retail presence across the country through Image Square stores, PIXMA Zones, and BIS Lounges. Canon India’s service reach extends to over 632 towns covering 19,118 PIN codes across India – which comprises of 349+ Camera collection points, 15 Camera repair centres, 320+ Printer repair centres, 183 Copier, Scanner and 120 Large Format Printer Sales & Service dealers. (Updated as of Jan 2025) In sync with its corporate tagline- ‘Delighting You Always’, reinforced by World-class technology, Canon offers an extended product portfolio, including Digital Production Printers, Large Format Printers, Commercial Printers, Multi- Functional Devices, Managed Document Services, Inkjet & Laser Printers, Document and Cheque Scanners, Digital Cameras, DSLRs, Mirrorless cameras, Cinematic Imaging Products and Surveillance cameras catering to the multiple market segments of consumer, SME, B2B, Commercial, Government & PSUs. Read More

National

eSentire and Qylis Form Strategic Partnership to Deliver Compliant Cybersecurity Solutions in India

MassMediaLink India LLP SecurityLink IndiaMarch 28, 2025March 28, 202505 mins

Qylis, a leading innovator in Data, AI & Cybersecurity, has partnered with eSentire, a leading global player in Managed Detection and Response (MDR), to introduce Qylis S365, a locally hosted and governed cybersecurity solution powered by eSentire’s Atlas XDR platform. Designed to strengthen India’s cyber resilience, Qylis S365 ensures compliance with data sovereignty laws and aligns with the Reserve Bank of India (RBI) & the Securities and Exchange Board of India’s (SEBI) Cyber Resilience Framework. This initiative aims to protect Indian industries and government entities against evolving cyber threats, delivering best-in-class threat detection, response and compliance capabilities. Qylis S365, powered by eSentire Atlas XDR, will empower organizations to detect, prevent and mitigate cyber threats in real-time, all while maintaining full data governance within India. Qylis S365: Enterprise-Grade Cyber Resilience Powered by eSentire’s Agentic AI and Atlas XDR platform, Qylis S365 offers unmatched threat detection, rapid incident response, and regulatory compliance, ensuring enterprises neutralize threats before they escalate. Key benefits: ● Real-Time Threat Response: AI-driven investigations with 3M+ active threat responses daily. ● Seamless Integration: Supports 300+ security tools, eliminating 80% of manual workload. ● Regulatory Compliance: 100% alignment with SEBI’s Cybersecurity Framework. ● Data Sovereignty Assurance: Fully India-based cloud-native platform, compliant with local regulations. Executive Insights Sivaram Gutta, MD & Co-founder, Qylis said, “I’m thrilled to announce Qylis’ Exclusive Strategic Alliance with eSentire, the global Authority in MDR. With AI-driven threats surging, businesses need more than alerts – they need real-time, AI-powered defence. Qylis S365 ensures 15x faster threat containment, at 40% lower cost, while maintaining compliance.” Kishore Uppalapati, CEO & Co-founder, Qylis commented, “Our exclusive partnership with eSentire reinforces Qylis’ commitment to delivering world-class cybersecurity solutions to businesses of all sizes. With Qylis S365, powered by eSentire Atlas XDR, we are offering our customers a cutting-edge, AI-powered defence mechanism that ensures continuous protection against cyberthreats.” Dustin Hillard, CTO, eSentire added, “Qylis’ commitment to excellence and customer success makes them the ideal partner to build this exclusive relationship within India. eSentire’s Agentic AI capabilities deliver Qylis customers security outcomes, powered by decades of eSentire security expertise. This strategic partnership not only meets regional and industry-specific compliance mandates, but ensures Indian enterprises are able to build cyber resilience and prevent their businesses from ever being disrupted.” Kerry Bailey, CEO, eSentire said, “At eSentire we talk about taking customer security outcomes to the next level. This partnership with Qylis is all about taking our Atlas XDR platform and our business to the next level, with the introduction of the Atlas Nexus Network. As the leader in SaaS SecOps we are expanding how we empower service providers and system integrators, by leveraging our intellectual property, unique threat intelligence and expertise in agentic investigations to scale cybersecurity protection for organisations globally.” Read More

AI & ML in Security & Surveillance

MassMediaLink India LLP SecurityLink IndiaMarch 28, 2025March 28, 2025010 mins

By Milind BorkarMD, Systematica Suyog Security Consultants(Sr. Consultant & Security Expert) Surveillance and Security in the traditional sense is now moving forward in leaps and bounds. Gone are the days of CCTV using analog cameras that are being replaced by digital cameras that enable video analytics to be performed on an incoming digital stream. Also, between year 2005 and year 2010 there was a massive push to standardize the interface between the camera and the software that talks to it over an ethernet cable. This standard is ONVIF (Open Network Video Interface). Though many camera manufactures claim ONVIF compliance one must check the following link prepared by onvif.org – https://www.onvif.org/conformant-products/. This development disrupted the stranglehold of camera manufactures with their partners and allowed many other players to enter the market as proprietary protocols were no longer required. Most of the terabytes of stored video is useless as it does not carry any useful information. Manual searches need to be conducted to find the relevant information one is looking for. This turns out to be a time-consuming process and by the time information is found it might be out of date. This is where Video Analytics can help to some degree by looking for only relevant information thereby saving time and resources. Even though Video Analytics saves a considerable amount of time, it still does not avoid the manual process involved in looking at video instead of data. Here is where Artificial Intelligence (AI) and Machine Learning come in. AI/ (neural networks) builds a model based on a few initial parameters that are input by the user. Without getting into the details, it quickly builds a neural network and tells you the confidence level of each object found in the video frame. This is a highly mathematical process involving convolution, calculus, probability and statistics. Based on the confidence level of each object found in the frame, one can fine tune the neural network by changing the input parameters. This fine tuning is called Machine Learning by which the neural network gives confidence levels above 95% for each object found. We have done this in our product where object confidence levels went from as low as 60% to as high as 98%. One can now put the neural network in training mode telling it what the target end result the user wants. The machine then self learns by varying the hundreds of input parameters till the end target is met. At this stage the model is what the user was expecting and he now continues to use this highly accurate model to build his or her applications to solve problems specific to their market vertical. So, what AI/ ML has done is that video examination is no longer required but extracted data from the video stream is examined. This is a far more intelligent way of examining video streams and far more efficient allowing the end user to build multiple intelligent applications on top of this. This is the WAVE of the future as multiple PETABYTES of data cannot be examined after the fact. With the number of cameras increasing exponentially all across the globe, the best way to process video is on the fly in real time as it saves time, money and resources across the board. However, for a particular use case some time and money have to be invested to fine tune the neural network model. Once this process and methodology is mastered, one can use it for other use cases. In our case, some of our models took up to 30 minutes to bring up the confidence level above 95%, while in other cases it has taken up to a week. Factors that affect this training period are following: (a) Lighting, (b) Number of objects in the frame, and (c) Complexity of the shape of the object. Diagram describing our Object Classification Engine We will now describe a couple of used cases to make this clear: Used case 1: Implementing Standard Operating Procedure (SOP) Suppose a SOP is defined for a drug testing methodology in a pharmaceutical laboratory. Requirements are as follows: ● Capture and time stamp when an employee enters and exits the laboratory. ● Measure procedure when the drug testing starts. ● Identify colored flasks and test tubes and their movement from one step to the next.● Identify microscopes and other medical instruments used in measurement and how they are being used. ● Flag any deviation from SOP and report to administrators. As one can see, one can use identifying objects in the video stream and determine whether the SOP is being followed. This can be used by the laboratory management team to improve overall efficiency of the laboratory and its’ employee performance without looking at video streams. A snapshot of our current Object Classification Engine for illustrative purposes Used Case 2: Measuring queue lengths at bank counters, airport check in lines, hospitals etc. ● Determine queue lengths to determine arrival and service rates. ● Queue lengths will increase if service time is greater than person arrival time. ● Flag these so the service efficiency can be improved. Summary The neural network model has over 25 million pre-defined objects in the database. These have been developed using artificial intelligence techniques. In a typical end user case, a very small subset of these 25 million predefined objects is required. New objects are continuously being added to the database. The model also allows itself to be put in training mode based on what the end user really wants Our Object Classification Engine takes advantage of this and provides interfaces so that end user case applications can be developed rapidly and be put to use. We provide extracted data, interface to the ML neural network model as well as we provide application development services for the customer. Read More

How Much for That VMS

MassMediaLink India LLP SecurityLink IndiaMarch 28, 2025March 28, 2025021 mins

Its Total Cost of Ownership May Surprise You! By Gaurav TaywadeDirector, India Operation, Vicon On-premise enterprise video management systems (VMS) can be a huge investment – one of the priciest elements of a company’s physical security technology infrastructure. They’re also one of the most critical. Without eyes on a property, there’s no way to ensure that other systems are doing their job. Since the pandemic, spending on VMS solutions has continued to rise. Commercial office space vacancies are high, hybrid and remote work models have businesses operating with far fewer onsite workers, crime is up, and security guards are in short supply. Building and security managers are determining that existing cameras provide insufficient coverage under these new conditions, and are therefore seeking to expand their systems. Quickly evolving technology is complicating matters, making legacy VMSs obsolete. Companies unable to leverage the latest generation of cameras, analytics, and integration opportunities are deciding that it’s time to upgrade to a new platform rather than continue to throw money into a substandard solution. After 5-10 years, the actual cost of one system may be as much as 50% lower than another As stakeholders wrestle with how to upgrade or replace their VMS network, performance and operational needs take top priority. However, once specifications are agreed upon, and various manufacturers have been identified that meet a project’s requirements, price can become the deciding factor. Unlike the straightforward comparison of technical specs between offerings, calculating and comparing the total cost of system ownership is much more elusive. The total-cost-of-ownership (TCO) is affected by many factors – some of which come as an unwelcome surprise to system owners after their VMS is up and running. At that point, it’s too late to reevaluate the wisdom of their investment. There is no magic formula for estimating TCO. Manufacturers structure their licensing, warranties, upgrades, maintenance, training, and other policies in different ways, and their promotional materials rarely spell out these distinctions. After 5-10 years, the actual cost of one system may be as much as 50% lower than another. To accurately evaluate TCO, decision-makers must know where to look for hidden expenses and the right questions to ask. We hope this whitepaper helps readers do just that. Device Licensing Practices are Sometimes Tricky Licenses are part of any on-premise VMS solution. The licensing model makes systems scalable; users pay more for larger deployments. In enterprise systems with hundreds or thousands of cameras, licensing represents a significant expense. That said, there is tremendous variation in how much licensing will cost a company throughout its VMS’s lifespan. The price-per-license differs by manufacturer, but that is only part of the story. Some manufacturers require a license for each camera. Others charge licensing fees for servers, workstations, storage, and edge devices. Licensing tied to NVRs and servers can pack a disproportionate financial wallop – especially when NVR licenses are calculated based on the number of streams supported. For example, let’s take one 12MP camera that features triple-streaming. With NVR licensing, the camera requires three licenses if all three streams are used, even if the same NVR records all three. Recording redundancy doubles the price. With two servers recording each of the three camera streams, that single camera represents six licenses! By contrast, a camera-only licensing model would require one license for this device, period. Consider how this policy substantially impacts a network with hundreds of cameras. When NVRs are licensed, adding or upgrading cameras also becomes more expensive. Let’s say a customer wishes to replace several 1MP cameras with 5MP models. The 5MP devices will impose more demand on the server. VMS systems may be infinitely scalable, but individual NVRs or servers have their limits. Adding new cameras, or replacing existing ones with higher resolution models, can result in the need for more network hardware. Once again, paying per camera – and only per camera – keeps TCO in check as systems grow. By contrast, when VMS software is free and licensing is only required for cameras, the options for keeping systems current remain uncomplicated and less expensive However, even with camera-only licensing models, there are still ‘buyer beware’ issues to consider. Some manufacturers link each license to the MAC address of a specific camera, making the license non-transferable. Limiting software in this manner is an antiquated approach that takes advantage of the user. When hardware needs to be replaced, there’s no reason the software license should need replacing too. Imagine if your laptop died and Microsoft said you must buy all new software rather than transfer your licenses to the new device. You would be irate. Finally, some manufacturers charge premium licensing fees, per device, to access certain VMS features. A camera’s specifications may indicate it “can do” certain things, but it’s possible that they are not included with a basic license. When calculating a system’s TCO, make sure you understand what your licenses include and what they don’t! Keeping Current is Critical; It Shouldn’t Be Costly Like any software, VMS platforms are constantly improving. The DevOps process used by many software development teams, with its focus on continuous feedback, collaboration, and communication, has accelerated the speed and frequency with which updates are released. Unlike business software for sales or marketing – for which new releases may be helpful but unnecessary – security software provides a mission-critical function. It should be kept current at all costs. How VMS manufacturers charge for updates affects TCO. Some updates, like those addressing bugs and vulnerabilities, may be free, but others come with a fee. Before purchasing a system, prospective owners should understand what to expect. Are upgrades mandatory? How frequently do they typically happen? Are upgrade protection plans available? How is the price calculated? Even if manufacturers do not mandate upgrades, they may ultimately discontinue support of earlier software versions, rendering the NVRs and servers running them obsolete unless the customer invests in an enterprise-wide software upgrade and relicensing. Without a systemwide update, the system owners cannot even add a single new camera….