Product counting and color detection with machine vision

Machine vision is gradually replacing manual inspection because of its efficiency and accuracy in high-speed product inspection, counting, and color and variety identification. The DV-1100 has the performance capabilities for these tasks, with up to 13/12 generation Intel® Core i9 (Raptor Lake-S / Alder Lake-S) processor with 24 cores, the UHD 770 with Intel® Xe architecture for superior GPU image classification inference performance, up to 32GB DDR5 memory (4800MHz), and high-speed NVMe solid-state drives. The DV-1100 also has high-speed I/O interfaces (2.5G LAN and 10Gbps USB3.2 Gen2x1) to connect peripheral devices such as cameras, sensors, and light sources. The DV-1100 has multiple international certifications, including the US UL safety certification and the EMC standard for industrial environments (EN 61000-6-2/4), ensuring uninterrupted and stable operation in harsh environments.

Parking lot license plate recognition

In parking lot management, the license plate recognition system automatically identifies the license plate numbers of vehicles entering and exiting, and controls the entry and exit gates, improving management efficiency and convenience. As the key of the license plate recognition system, the DV-1100’s high computing performance enables real-time image processing, and with a compact size of only 224.1 x 162 x 62 mm, there is no need to worry about limited installation space. Storage needs for large amounts of license plate image data are handled by the DV-1100’s built-in 2.5″ HDD/SSD slot for large-capacity storage. Additional expansion is enabled through M.2 Key B, M.2 Key E, and M.2 Key M slots for adding wireless communication (5G, WiFi, GNSS) and additional storage functions as needed. The DV-1100 also has high-standard industrial-grade protection and supports wide temperature (-40°C to 70°C) and wide voltage (9 to 48 VDC), which is particularly suitable for outdoor parking lot license plate recognition.

Automatic mail sorting machine

Modern postal companies use automatic mail sorting machines with optical character recognition (OCR) technology to quickly classify mail and speed up processing. The DV-1100 can connect to various external devices, such as sensors, cameras, and scanners through its native I/O (2x LAN, 6x USB, 2x COM) and additional I/Os (such as HDMI, DisplayPort, COM, and DIO) added using Cincoze’s exclusive expansion module technology. The DV-1100 also provides multiple industrial protections for automatic mail sorting machines during operation, such as overvoltage, overcurrent, and ESD protection. It also complies with the US military anti-shock vibration standard (MIL-STD-810H), ensuring high reliability and stability in an operating environment with continuous vibrations.

Explore AITechPark for the latest advancements in AI, IOT, Cybersecurity, AITech News, and insightful updates from industry experts!

The post Cincoze DV-1100: embedded computer for edge computing applications first appeared on AI-Tech Park.

Scale Computing, a market leader in edge computing, virtualization, and hyperconverged solutions, today announced that it won a 2024 CRN Annual Report Card (ARC) Award in the Hybrid Cloud Infrastructure category from CRN^®, a brand of The Channel Company. This is the sixth consecutive year Scale Computing has been recognized as a CRN ARC Award winner, and the company once again swept all subcategories, including Product Innovation, Support, Partnership, and Managed & Cloud Services.

Among the most prestigious honors in the IT industry, CRN’s ARC Awards recognize vendors who are committed to growing the IT channel through technology innovation and partner relationships. The award is based on solution provider evaluations of technology vendors’ efforts to design channel-friendly product offerings, develop high-value partner benefits, and foster long-term, successful partnerships.

“We are honored to receive a CRN ARC Award for the sixth year in a row as it is a true testament to our continued investment in our partner community,” said Jeff Ready, CEO and co-founder of Scale Computing. “To win the Hybrid Cloud Infrastructure category and sweep all subcategories underscores our unwavering commitment to excellence and investment in making our partner community successful. There has been a lot of uncertainty in the market this year, but we have proudly stayed true to our core values of being a channel-first organization and setting new standards in both customer and partner satisfaction.”

The ARC Award win comes on the heels of other major channel award recognitions for Scale Computing, including CRN Tech Innovator finalist, Channel Chief, Women of the Channel, and a CRN Partner Program Guide 5-star rating. Ready was also recently named the number one IT Innovator and Scott Mann named a Top 25 Channel Sales Leader in CRN’s Top 100 Executives list. The company is also currently offering two VMware alternative promotions. New and current partners looking to switch customers to Scale Computing can participate in the VMware Rip & Replace promotion and receive a 25% discount on Scale Computing software and services for each new customer implementation. VMware customers seeking VMware Alternatives can transfer existing software licenses and exchange existing hardware through the Seamless Switch: Trade-Up to Scale Computing promotion.

The award-winning Scale Computing Platform (SC//Platform) brings together simplicity and scalability, replacing existing infrastructure and providing high availability for running workloads in a single, easy-to-manage solution. SC//Platform eliminates complexity, lowers costs, reduces management time, and maximizes uptime, delivering faster time to value than competing solutions and enabling organizations to run applications in a unified environment that scales from 1 to 50,000 servers.

The ARC Awards highlight the top-performing vendors in one or more of the 27 technology product categories or four subcategories: product innovation, support, partnership, and managed and cloud services. Survey participants rated 58 vendor partners across 27 technology product categories, evaluating satisfaction levels in four main subcategories and 22 criteria, including GenAI, ease of integration, marketing support, and partner communication.

“We’re thrilled to recognize technology vendors who partners have selected as the gold standard for products, services, and programs that support solution provider success in the channel,” said Jennifer Follett, VP, U.S. Content, and Executive Editor, CRN, The Channel Company. “The winners of this year’s CRN Annual Report Card Awards demonstrate continuous dedication to building strong partnerships and delivering long-term value and opportunity for their solution provider partners. Congratulations to all the winners for this notable achievement and unwavering commitment to excellence.”

Explore AITechPark for the latest advancements in AI, IOT, Cybersecurity, AITech News, and insightful updates from industry experts!

The post Scale Computing Recognized With CRN 2024 ARC for Sixth Consecutive Year first appeared on AI-Tech Park.

mimik ai introduces a cloud-native operating environment featuring a generative AI runtime and a comprehensive suite of on-device microservices. This transformative solution redefines how AI is utilized by OEMs, AI model providers, and developers across all applications and market segments.

“Our goal with mimik ai is to empower enterprises and developers to achieve their business and development objectives securely, efficiently, and rapidly,” said Fay Arjomandi, Founder and CEO of mimik. “AI and Automation are breaking down the siloed apps into collaborative solutions. mimik ai offers unparalleled flexibility, enabling businesses to grow profitably while maintaining full control over their data and operations. This launch represents a significant shift in accelerating the industry, paving the way for OEMs, AI model providers, and developers to lead in deployment of next-generation intelligent solutions.”

Key Features of mimik ai:

• Offline-First: Reduce costs and cloud dependency, improve energy efficiency, and enhance sustainability by accessing the cloud only when necessary.
• Enhanced Security/Data Privacy: On-device data processing ensures secure transactions directly from the endpoint device.
• On-Device API: Industry-standard, easy to interface, with the fastest integration and interoperability.
• Multi-Cloud and Multi-AI Support: Agnostic, flexible, and expandable to meet various industry needs.
• AI-to-AI Communication: Increases response quality and value with multi-AI support, enabling seamless interaction between different AI models.
• Zero-Config Service Mesh: Facilitates ad hoc node discovery, eliminates IT configuration costs, and offers a plug-and-play approach for rapid deployment.

“We are thrilled to introduce mimik ai to the market,” added Sam Miri, CRO at mimik. “Our team has worked tirelessly to develop a product that not only meets the current needs of our customers, but also anticipates the future demands of the rapidly evolving AI landscape. With mimik ai, we are empowering businesses to harness the full potential of AI directly at the computing nodes.”

mimik ai delivers a versatile and powerful solution to meet the growing demand for hybrid edge AI capabilities across all industries and application, such as enterprise, IoT, Smart City, Software Defined Vehicle Automotive, Offshore and fleet operation, healthcare and any generic native app development. It enhances real-time decision-making, on-device processing, and data privacy while enabling seamless collaboration and efficiency across all applications —unleashing a seamless hybrid edge intelligence.

To learn more about mimik ai product, visit https://mimik.com and https://developer.mimik.com, and download mimOE.ai to start your design. Request a demo or contact our sales team today. Experience the future of AI integration with mimik ai.

Explore AITechPark for the latest advancements in AI, IOT, Cybersecurity, AITech News, and insightful updates from industry experts!

The post Unveiling mimik ai: Connecting the Dots for Hybrid Edge AI first appeared on AI-Tech Park.

Caregility Corporation, an enterprise telehealth leader dedicated to connecting care for patients and clinicians everywhere, is excited to announce the release of new fall risk detection capability in its iObserver solution. Hospital care teams use iObserver for continuous observation of patients at risk of self-harm or falls. The new artificial intelligence (AI) capability, developed natively by Caregility, uses computer vision to analyze visual information, detect fall risks, and alert caregivers accordingly.

The Caregility platform allows AI technology to run entirely on telehealth edge devices in the patient room, eliminating the need to stream patient audio-visual data to the cloud. This approach ensures cost-effective, scalable solutions across thousands of rooms where Caregility endpoints are available today. Other comparable technologies face challenges related to bandwidth for video streams and the processing power needed to scale across numerous rooms. Most importantly, this purposeful application of computer vision technology underscores Caregility’s commitment to responsible AI, as visual data is processed locally, safeguarding data protection and privacy.

“Our open and adaptable platform allows us to develop native AI capabilities when possible while also evaluating other third-party solutions to determine if they can add value to caregivers’ workflows,” said Kedar Ganta, Caregility’s Chief Product and Engineering Officer. “This flexibility keeps us at the forefront of AI advancements without being locked into a single solution.”

“We’re redefining the future of telehealth with AI-powered edge computing,” said Bin Guan, Caregility’s Chief Innovation Officer. “By breaking down traditional barriers to AI adoption, we’re enabling healthcare providers to leverage cutting-edge technology without sacrificing operational efficiency or data privacy.”

“This breakthrough in AI at the edge is confirmation of Caregility’s ability to innovate,” added Mike Brandofino, Caregility’s President and Chief Operating Officer. “At the same time, no company can provide all the technology required to deliver on the modernization of care. Caregility remains committed to integrating with other AI technology partners where it makes sense in order to bring value and flexibility to our customers. This ultimately provides them with a foundational platform they can build on for the foreseeable future.”

Caregility’s computer vision capability is available to be used on every one of the more than 15,000 Caregility edge devices currently installed in hospitals around the globe. This is a testament to the value and durability of Caregility’s purpose-built devices, called Access Point of Care Systems (APS). The first APS system ever deployed by the company is still running after six and half years in continuous operation, proving that choosing Caregility means that health systems will have a future-proof solution that can adapt as new technology is introduced.

“Our approach to AI involves understanding the challenges our customers face and then identifying where technology can play a role,” said Ganta. “We believe that combining our video AI and audio AI with specialized third-party solutions, such as contactless vitals tracking, can provide caregivers with valuable insights to improve patient outcomes. By leveraging our edge devices and avoiding the challenges of cloud-based AI, we can achieve faster and more accurate results with our proprietary technology.”

Explore AITechPark for the latest advancements in AI, IOT, Cybersecurity, AITech News, and insightful updates from industry experts!

The post Caregility launches first edge-based AI computer vision for healthcare first appeared on AI-Tech Park.

ZEDEDA, the leader in edge management and orchestration, today announced strategic partnerships with Anthosa Consulting and Centreon to deliver cutting-edge operational technology (OT) enhancements across Asia, Australia and New Zealand.

This collaboration brings together complementary capabilities to provide full visibility into IT and OT assets, securely orchestrate distributed workloads, and conveniently manage edge computing deployments. It simplifies the implementation of critical technologies that drive real business value, such as AI, while addressing challenges of edge environments like poor security, low bandwidth and intermittent connectivity.

“This partnership will enable customers to jump-start their edge deployments, making it easier for them to take advantage of technologies like AI/ML and quickly see real business impact,” said Michael Maxey, Vice President of Technical Business Development at ZEDEDA.

“The truly special aspect of this partnership is that each company brings complementary capabilities to gain visibility, securely orchestrate and conveniently manage workloads for driving IT/OT transformations,” said Anthosa Consulting’s founder, Chamara Somaratne. “The prospect of how this enables intelligence at the edge and realizes the benefits of AI/ML for transforming operations and improving services is inspiring.”

“Together, we’re easing the complexities of deploying edge solutions in Asia, Australia and New Zealand by offering complete services from conceptualization to implementation of a future-proofed hybrid infrastructure,” said Marc-Antoine Hostier, Centreon’s chief operating officer. “It integrates Centreon’s observability platform and Anthosa’s strategy accelerators to speed up the transformation of OT for complex industrial environments, leveraging AI/ML to optimize business operations.”

The 2024 Gartner CIO and Technology Executive Survey found that 94% of Australian and New Zealand CIOs and technology executives planned to implement AI and machine learning over the next two years, and 78% expected to increase their investment in business intelligence and data analytics this year.

For more information about this partnership, join the webinar “Intelligence On The Edge – How Can AI/ML Transform Your Operations?” on Aug. 15 at 9:30 a.m. AEST.

Explore AITechPark for the latest advancements in AI, IOT, Cybersecurity, AITech News, and insightful updates from industry experts!

The post ZEDEDA Announces Partnership with Anthosa Consulting and Centreon first appeared on AI-Tech Park.

“Forward-facing cameras are a key component of any truck safety program and a requirement for member carriers to qualify for reduced insurance rates under ICSA’s risk purchase group program,” said Karen Rasmussen, Executive Director at ICSA. “Our Board of Directors determined that carriers already using any of four approved major camera brands are not required to buy cameras from ICSA. Those members who still need to purchase cameras can qualify for a substantial discount from Netradyne.”

Most industry safety experts believe videos from on-road incidents are excellent coaching tools that can help even veteran drivers become better behind the wheel. With its advanced artificial intelligence and high-resolution video, Netradyne’s fleet safety solutions offer an excellent option for ICSA members to coach drivers and retain video evidence in case of a lawsuit.

“We are thrilled to partner with ICSA to bring sophisticated safety tools to small fleets and owner-operators,” said Adam Kahn, president of Netradyne. “The Driver•i device records and analyzes the entire drive. This, combined with premium AI and edge computing, enables it to understand the cause of events, recognize good driving, and offer specific suggestions for improvement.”

Explore AITechPark for the latest advancements in AI, IOT, Cybersecurity, AITech News, and insightful updates from industry experts!

The post ICSA Selects Netradyne as New Fleet Safety Solutions Partner first appeared on AI-Tech Park.

Founded in 2015, Cientra is headquartered in New Jersey, U.S. and has offices in Frankfurt, Germany as well as in Bangalore, Hyderabad and New Delhi, India. The company brings consulting expertise in embedded IoT and application-specific integrated circuit design and verification capabilities, which augments Accenture’s silicon design experience and further enhances its ability to help clients accelerate semiconductor innovation required to support growing data computing needs.

“Everything from data center expansion to cloud computing, wireless technologies, edge computing and the proliferation of AI, are driving demand for next-generation silicon products,” said Karthik Narain, group chief executive—Technology at Accenture. “Our acquisition of Cientra is our latest move to expand our silicon design and engineering capabilities and it underscores our commitment to helping our clients maximize value and reinvent themselves in this space.”

Cientra has deep experience in engineering, development and testing across hardware, software and networks, in the automotive, telecommunications and high-tech industries. The company brings approximately 530 experienced engineers and practitioners to Accenture’s Advanced Technology Centers in India.

“Since inception, Cientra has been dedicated to building top talent and fostering continuous innovation, developing product solutions that drive value for our clients,” said Anil Kempanna, CEO, Cientra. “Joining Accenture provides exciting opportunities to expand globally and scale our capabilities to create new avenues of growth for our clients as well as our people.”

This acquisition follows the addition of Excelmax Technologies, a Bangalore, India-based semiconductor design services provider, earlier this week, and XtremeEDA, an Ottawa, Canada-based silicon design services company, in 2022.

Explore AITechPark for the latest advancements in AI, IOT, Cybersecurity, AITech News, and insightful updates from industry experts!

The post Accenture Acquires Cientra to Expand Silicon Design Capabilities first appeared on AI-Tech Park.

M31’s LPDDR5/5X/5T memory IP offers exceptional data transfer rates, ensuring optimal performance for HPC applications, including data centers, AI workloads, and advanced scientific computing. At the same time, the LPDDR5 design emphasizes power efficiency, reducing energy consumption by up to 30% compared to previous generations, making it suitable for large-scale computing environments where energy efficiency is critical. Data rates of up to 9600 Mbps facilitate faster processing speeds and more efficient data handling, which are essential for real-time analysis and intensive computing tasks. Utilizing advanced error correction technology ensures higher data integrity and reliability, which is crucial for maintaining accuracy in complex computing processes. The LPDDR memory module is designed to occupy minimal space, providing flexibility in design and integration, making it particularly suitable for compact and high-density computing environments.

Additionally, M31’s LPDDR memory IP solutions are specifically tailored for data center applications, enhancing processing capabilities and reducing operational costs, thereby improving energy efficiency. In the field of AI, they accelerate model training and inference speeds, which are critical for AI and machine learning tasks. Meanwhile, LPDDR memory IP also shows strong demand in the edge computing market, where its high performance and low power consumption features help manufacturers build smaller, lighter, and more powerful edge computing devices. In addition to LPDDR, M31 is actively researching and developing other advanced memory technologies such as Graphics Double Data Rate (GDDR) memory. GDDR memory is optimized for graphics applications, providing extremely high data transfer rates and excellent performance, making it suitable for gaming, virtual reality, and professional graphics workstations. Utilizing M31’s silicon-proven memory IP helps to meet the increasing high-performance computing demands and satisfy the AI application market, accelerating customers’ product development processes. As the pace of AI evolution accelerates, the role of IP in SoC chip design becomes increasingly important. As a professional IP supplier, M31 is committed to innovation and excellence, keeping pace with the developments in the semiconductor industry and continually driving technological advancements.

Explore AITechPark for the latest advancements in AI, IOT, Cybersecurity, AITech News, and insightful updates from industry experts!

The post M31 Launched Advanced LPDDR Memory IP to Support HPC Applications first appeared on AI-Tech Park.

Actian, the data and analytics division of HCLSoftware, today announced the launch of Actian Zen 16.0, the newest version of its innovative embedded database. To help businesses run faster, smarter applications on the edge, Zen 16.0 is designed for real-time data processing across mobile, IoT devices, edge gateways, and complex machinery.

Actian developed Zen 16.0 to capture the growing demand for edge computing. IDC predicts edge computing will account for $232 billion in spending this year*. Zen 16.0 simplifies and optimizes edge computing for resource-constrained environments that range from industrial IoT and connected healthcare to smart cities. Actian Zen 16.0 introduces performance enhancements and new features designed to improve efficiency and functionality for the more than 13,000 organizations currently using Zen, as well as attracting new customers.

“Actian Zen16.0 is designed to meet the needs of modern embedded systems and edge computing,” said Emma McGrattan, senior vice president of engineering and product at Actian. “Its secure and scalable design allows for easy data synchronization with Zero-ETL, making it perfect for developers creating intelligent applications that can deliver real-time decisioning from edge to cloud to give a business competitive advantage.”

Zen 16.0 delivers the small footprint with fast read and write access and automatic administration that resource-constrained environments require. Zen16.0 addresses the need to support high-performance intelligent applications with minimal administration, particularly for frequent data update use cases like sensor data collection to monitor patient well-being or asset management tracking using RFID scanners.

Zen 16.0 ensures seamless data synchronization from edge to cloud, supports both SQL and NoSQL data access, and leverages popular programming languages to empower developers in building low-latency embedded applications.

“Actian Zen provides a high performance, lightweight, and self-managed embedded database for our business,” said Trent Maynard, Director of Product & Engineering at Global Shop Solutions. “Zen continues to deliver exactly what we need and we’re enthusiastic about the new capabilities of Zen 16.0 to empower our business operations even further.” 

Detailed here, Zen 16.0 includes improved L2 cache sizing, page preload for large data files, Kafka data stream support, EasySync – a new datasync utility, enhanced JSON support, Btrieve2 Python package, Docker and Kubernetes container support, and extended index key length.

Explore AITechPark for the latest advancements in AI, IOT, Cybersecurity, AITech News, and insightful updates from industry experts!

The post Actian launches Zen 16.0, the Next Gen Database for Edge Computing first appeared on AI-Tech Park.

Rancher’s Kubernetes Engine 2 (RKE2) brings robust security enhancements to this partnership. As a fully conformant Kubernetes distribution, RKE2 is designed with security as a priority, offering FIPS compliance and DISA STIG validation to meet stringent federal and defense deployment standards. The integration of RKE2 with Metalvisor ensures a comprehensive security framework that not only enhances application deployment and management but also fortifies the entire stack against advanced threats.

Metalvisor, Mainsail’s innovative hypervisor, enhances foundational security for edge and deployable compute environments by merging the flexibility of a hypervisor with the efficiency of bare metal. This robust platform is designed to prevent unauthorized firmware updates, restrict boot processes, and encrypt sensitive data across all states: in-use, in-transit, and at-rest. Metalvisor establishes a secure foundation from the ground up, making it a critical component in protecting against nation-state attacks, APTs, and other advanced threats that exploit physical access vulnerabilities in edge workloads.

Brad Sollar, Chief Technical Officer at Mainsail explained the specific benefits of Metalvisor, “Metalvisor redefines hardware-level security with the flexibility of a hypervisor and the speed of bare metal. It includes features like Secure Boot, in-depth supply chain defense, and always-on encryption, ensuring data integrity and confidentiality across all forms of data.”

“Through our partnership with Mainsail, integrating their Metalvisor technology with our Kubernetes management solutions like RKE2, we are not merely setting new benchmarks in government IT security—we are transforming it,” said Paul Smith, CEO of Rancher Government. “This collaboration significantly enhances our security capabilities, greatly elevating the efficacy and efficiency of government operations.”

Highlights of the Partnership:

– Unified Security Architecture: Integrating Metalvisor’s silicon-level security with Rancher’s RKE2 creates a seamless, secure infrastructure spanning all layers of IT operations.

– Advanced Threat Protection: Metalvisor and RKE2 work together to safeguard systems against nation-state attacks, unauthorized data access, and prevent lateral movement, crucial for protecting edge computing devices and deployable compute environments.

– Operational Continuity and Resilience: By embedding security into hardware, firmware, and software layers, the partnership guarantees high operational continuity and resilience, preserving critical functions even when higher-level security measures are challenged.

– Compliance and Scalability: The comprehensive security approach simplifies adherence to regulatory standards and scales effectively across extensive network deployments.

For more information about Rancher Government and Mainsail Industries, please visit www.ranchergovernment.com or https://www.mainsailindustries.com.

Explore AITechPark for the latest advancements in AI, IOT, Cybersecurity, AITech News, and insightful updates from industry experts!

The post Rancher Government Solutions and Mainsail announced partnership first appeared on AI-Tech Park.