menu
techminis

A naukri.com initiative

google-web-stories
Home

>

IOT News

IOT News

source image

Medium

2d

read

125

img
dot

Image Credit: Medium

Be Wary of Cyber Bandits: Tech Pitfalls to Watch Out For

  • Be cautious of robocalls and avoid answering calls from unfamiliar numbers.
  • Exercise caution with email communications, especially when banks or institutions request login information.
  • Beware of tech support scams that appear as pop-up messages on your computer.
  • Age and wisdom are valuable in protecting oneself from online threats.

Read Full Article

like

7 Likes

source image

Dzone

3d

read

324

img
dot

Image Credit: Dzone

How to Port CV/ML Models to NPU for Faster Face Recognition

  • Porting computer vision/machine learning models to an NPU was crucial for faster face recognition on edge devices.
  • The NPU proved effective for heavy processing on edge devices, enhancing the speed of face recognition operations.
  • Face recognition involves a pipeline including face detection, key point identification, alignment, and template extraction.
  • Time constraints for detection, face alignment, and template extraction were set to ensure efficient face verification.
  • The hardware used for this project was the OK3568-C, which posed challenges due to its limited processing power.
  • Inference on the Rockchip NPU required the use of the RKNN-Toolkit2 for model conversion and optimization.
  • Inference on the NPU could be done with Float16 or Int8 representations, each with its trade-offs in accuracy and speed.
  • Optimizing models to balance speed requirements and accuracy involved a mix of Float16 and Int8 versions in the pipeline.
  • Despite some drop in accuracy due to quantization, the Int8-quantized models were effective for access control use cases.
  • In conclusion, utilizing NPUs for CV/ML models significantly accelerates inference speed, outweighing minor accuracy trade-offs.

Read Full Article

like

19 Likes

source image

Dev

3d

read

301

img
dot

Image Credit: Dev

IOT-based Smart Ground water Recharge System

  • The article discusses the development of a Smart Rainwater Harvesting System using IoT and AI technologies for efficient water management.
  • It highlights the need for sustainable groundwater recharge due to declining underground water levels in India.
  • The system incorporates smart sensors, microcontrollers, and cloud analytics to optimize water collection and distribution.
  • Key features include real-time data acquisition, automated water distribution based on various factors, and remote monitoring.
  • It utilizes Machine Learning for prediction, optimization, and efficient water storage strategies to avoid wastage.
  • The IoT-based system enables monitoring soil moisture levels, household water needs, and groundwater recharge requirements.
  • NodeMCU ESP8266 is used for real-time monitoring and automation, allowing for wireless connectivity and automated alerts.
  • Experiments showed a 40% improvement in water utilization efficiency and cost reduction, benefiting groundwater conservation and irrigation planning.
  • Future enhancements may include edge AI implementation, scalability for industrial use, and blockchain integration for transparent water management records.
  • Integrating technology with sustainability is crucial in addressing global water scarcity issues.

Read Full Article

like

18 Likes

source image

Dev

10h

read

280

img
dot

Image Credit: Dev

Edge Computing in 2025: New Frontiers for Developers

  • Edge computing is reshaping the development landscape by bringing computation and storage closer to the data sources.
  • Key factors driving the adoption of edge computing include the explosion of IoT devices, real-time requirements, bandwidth limitations, privacy regulations, and the deployment of AI.
  • Developers should consider architectural approaches like microservices, FaaS, and event-driven architecture when designing applications for edge computing.
  • Some real-world applications driving edge adoption include smart manufacturing, autonomous vehicles, retail intelligence, and smart cities.

Read Full Article

like

16 Likes

source image

Hackaday

1d

read

316

img
dot

Image Credit: Hackaday

Open Source Framework Aims to Keep Tidbyt Afloat

  • Tronbyt, an open source firmware and self-hosted backend, aims to free the Tidbyt smart display from its cloud dependency.
  • Tidbyt has been acquired by Modal and will no longer produce new units, potentially leading to the shutdown of the Tidbyt backend.
  • Tronbyt project aims to keep Tidbyt devices from becoming obsolete by enabling them to function without the cloud service.
  • The open nature of Tidbyt's development allows for the creation of custom firmware and backend, demonstrating the benefits of open source devices.

Read Full Article

like

19 Likes

source image

Currentanalysis

2d

read

39

img
dot

Image Credit: Currentanalysis

MWC25: ASEAN Enterprise Telecom Highlights

  • ASEAN telcos at MWC25 announced partnerships and initiatives in AI, APIs, private networks, and industrial solutions to monetize network infrastructure and drive operational efficiencies.
  • Telkomsel, Indosat, CelcomDigi, Maxis, U-Mobile, PLDT, Globe, and others made key announcements focusing on digital transformation, 5G, AI adoption, and network enhancements.
  • Initiatives include collaborations with Huawei, ZTE, Nokia, Nvidia, Ericsson, Qualcomm, and Braintree Technologies, emphasizing on AI integration, 5G-enabled use cases, and IoT solutions.
  • Partnerships such as Telkomsel with Pegatron 5G for smart manufacturing and TikTok for telco verify showcase the potential of telecom APIs and vertical capabilities.
  • Malaysian operators are driving initiatives to integrate AI into networks for operational efficiency improvements and network quality enhancements.
  • ASEAN telcos are focusing on 5G, IoT, industrial use cases, API standardization, and private network solutions to meet the evolving ICT requirements and maintain margins in the maturing telecom market.
  • Future actions for telcos include strengthening industrial capabilities, adopting standardized APIs like CAMARA, developing private network solutions, and integrating AI across different vendors in network roadmaps.
  • The demand for private mobile networks, advancements in unified solutions, and exploring AI use cases like network troubleshooting and security are integral for telecom operators.

Read Full Article

like

2 Likes

source image

VoIP

2d

read

67

img
dot

Image Credit: VoIP

Nokia Expands IoT Capabilities with New App Marketplace

  • Nokia expands its Industrial IoT capabilities with new apps and a marketplace.
  • The MXIE edge system now includes solutions for automation, efficiency, safety, security, and sustainability.
  • Collaboration with new software vendors on the MXIE server platform and expansion of the DAC Marketplace with more products.
  • Nokia aims to offer an open, interoperable industrial edge ecosystem while facilitating digital transformation for businesses.

Read Full Article

like

4 Likes

source image

Medium

2d

read

363

img
dot

Image Credit: Medium

From Capacity to Constraint: Rethinking Software in a Hardware Company

  • When entering the IoT space, the focus should shift from hardware capacity to software constraints.
  • Software is not simply a bolt-on feature, but a living, evolving relationship that drives the product's daily experience.
  • In the world of software, focus is more important than abundance, as not every idea or feature should be built.
  • Successful IoT brands treat software as a constraint and prioritize strategic clarity, time-to-learn, and quick iteration.

Read Full Article

like

21 Likes

source image

TestingXperts

3d

read

20

img
dot

5 Ways IoT Transforms Predictive Maintenance for Smarter Operations

  • Unplanned downtime cost top global companies billions annually, emphasizing the need for IoT in predictive maintenance to reduce losses.
  • IoT-based predictive maintenance utilizes AI and connected sensors to monitor asset conditions, predict failures, and optimize maintenance schedules.
  • Predictive maintenance with IoT involves real-time data collection through sensors and AI analysis to anticipate component failures.
  • IoT-powered predictive maintenance minimizes unplanned downtime, reduces emergency repair costs, and focuses maintenance efforts efficiently.
  • IoT transforms predictive maintenance in healthcare by enabling real-time monitoring of medical equipment to prevent malfunctions.
  • In manufacturing, AI and ML algorithms help predict failures accurately through IoT sensor data analysis.
  • IoT sensors in transport and logistics optimize cargo tracking, fleet management, and delivery routes to enhance efficiency.
  • Smart homes, buildings, and cities benefit from IoT technologies in managing systems, reducing energy costs, and monitoring usage.
  • IoT-enabled remote monitoring reduces downtime by predicting breakdowns and scheduling maintenance proactively.
  • Challenges in IoT predictive maintenance include data security, integration with legacy systems, scalability, data overload, and ROI concerns.

Read Full Article

like

1 Like

source image

Dev

3d

read

364

img
dot

Image Credit: Dev

I built an AI Agent that can control a smart-home and you can too.

  • The article discusses the evolution of AI agents in controlling real-world connected devices in smart homes, paving the way for enhanced automation and interaction through APIs.
  • The Matter-MCP Server, an open-source tool, simplifies the integration of AI agents with Matter devices, offering a more straightforward approach to control through natural language.
  • It addresses the challenge of communication with Matter devices for AI-driven automation by acting as a bridge through the MCP (Model-Context-Protocol), enabling structured communication interfaces.
  • The Matter-MCP Server empowers AI to commission new devices, read/update attributes, send commands in natural language, monitor status, and access protocol documentation, enhancing home automation's intuitiveness.
  • Setting up the Matter-MCP Server involves steps like cloning the repository, setting up a Python virtual environment, installing dependencies, and integrating UV for AI integration.
  • Configuration with AI-powered assistants like Claude involves adjustments in desktop settings and adding MCP server configuration to facilitate interaction with the Matter-MCP Server.
  • The article details the installation process in Claude Code, usage of Python Matter Server, testing with Matter Virtual Devices, and debugging methods for the AI-powered IoT setup.
  • Expanding AI agent capabilities by adding more MCP servers enables dynamic searching for relevant Matter documentation and device commands without manual intervention.
  • The Matter-MCP Server streamlines AI-driven IoT automation, offering a quick integration of Matter devices with AI assistants, saving developers time on dealing with protocols and debugging.
  • By eliminating complex coding and debugging, developers can leverage the Matter-MCP Server to create AI-powered IoT solutions efficiently, making smart home automation more seamless.

Read Full Article

like

21 Likes

source image

Eu-Startups

4d

read

206

img
dot

Sateliot’s space leap: €70 million to connect the planet with 5G-IoT from orbit

  • Barcelona-based SpaceTech company Sateliot has closed its Series B round at €70 million to deploy a constellation of more than 100 satellites to provide global connectivity services.
  • Sateliot aims to become the first 5G-IoT telecommunications operator from space, delivering NB-IoT connectivity to extend mobile telecom coverage to 100% of the planet.
  • The investment will be used to provide global connectivity services, especially in remote areas, for defense, cybersecurity, telecommunications, logistics, mining, energy, environment, agriculture, and critical infrastructures.
  • Sateliot has already launched six satellites and has contracts worth €270 million with over 400 customers in 50 countries, with a goal of achieving a turnover of €1 billion by 2030.

Read Full Article

like

12 Likes

source image

Medium

7d

read

270

img
dot

Image Credit: Medium

My Smart Doorbell Tried to Scam Me — Here’s How I Fought Back

  • Hackers hijacked a smart doorbell to send a fake notification and phishing link.
  • The author turned their smart home into a secure environment.
  • Smart devices are convenient but have security vulnerabilities.
  • Implementing security measures can protect against hacking attempts.

Read Full Article

like

16 Likes

source image

Medium

1w

read

193

img
dot

Image Credit: Medium

Living Better with Technology: The Internet of Things and Your Independence

  • Technologies aimed at the senior market are expected to be a $10 billion industry by 2020, offering numerous benefits for seniors in terms of empowerment and independence.
  • The growing aging population in the U.S. and rising healthcare costs are driving the focus on technology innovation for seniors.
  • Internet of Things (IoT) devices help monitor and support seniors, enabling connectivity and safety within their living environment.
  • IoT applications include groceries ordering, home security systems, medicine management tools, fall monitors, and wearable medical sensors.
  • IoT allows for remote monitoring by caregivers and emergency responders, ensuring timely assistance and alerting for deviations in routine.
  • Smart homes and communities utilizing IoT technologies enable proactive and personalized care for seniors, reducing medical costs.
  • IoT enhances the aging experience by offering real-time healthcare analysis, fall prevention, information sharing, and tailored responses to patient needs.
  • The affordability, ease of use, privacy, and security of new technologies are crucial for effectively enhancing seniors' quality of life and maintaining their independence.
  • As technology advances, seniors can benefit from staying in their homes longer, living independently, and feeling safer through remote monitoring and support.

Read Full Article

like

11 Likes

source image

Siliconangle

1w

read

354

img
dot

Image Credit: Siliconangle

Rerun gets $17M to build the essential data infrastructure for AI-powered robots, drones and cars

  • Stockholm-based startup Rerun.io AB secures $17 million in seed funding to develop a data infrastructure platform for 'physical AI' used in robots, drones, and autonomous vehicles.
  • The funding round, led by Point Nine, also included Sunflower Capital, Coatanoa Ventures, Seedcamp, and notable angel investors like Guillermo Rauch and Nicolas Dessaigne.
  • Rerun's database tools cater to data streams from robots, drones, and AI sources, offering features like visual debugging, spatial visualizations, and detailed analytics.
  • As the demand for physical AI increases with advancements in autonomous vehicles and robotics, Rerun aims to address the data infrastructure bottleneck in this field.
  • CEO Nikolaus West emphasizes the potential of physical AI to transform the global economy but notes the inadequacy of current data stacks for this purpose.
  • Rerun's database supports complex multimodal data from 3D scenes and video streams, with open-source versions already attracting users from companies like Meta Platforms and Google.
  • The startup's focus on open-source tools has generated trust among leading companies in the physical AI sector, enhancing its competitiveness in the market.
  • Rerun plans to use the funding to expand its team, launch a commercial version of its multimodal database, and further integrate its open-source products with physical AI devices.
  • The company's goal is to facilitate faster product development in robotics and drones by providing efficient data infrastructure and visualization systems.
  • Rerun's efforts in advancing physical AI technologies have been recognized, with plans to deepen collaborations with industry experts and accelerate innovation in the field.

Read Full Article

like

21 Likes

source image

Dev

1w

read

300

img
dot

Image Credit: Dev

🚀 We're Hiring at Intangles Lab Pvt. Ltd. – Multiple Tech Positions! [India On-Site]

  • Intangles Lab Pvt. Ltd. is hiring for multiple tech positions
  • Open positions include Developer - Backend (Node.js), Site Reliability Engineer, Developer - Frontend, Developer - Mobile Application, Product Owner, AI Scientist, and UX Designer
  • Location: Pune, India
  • Opportunity to work on cutting-edge AI & IoT projects, a great learning environment & talented team, and innovate in the automotive space

Read Full Article

like

17 Likes

For uninterrupted reading, download the app