#Hardware and IoT

[qortrola]

The Future of Decentralized Gaming has arrived, Don't believe me? Then dive into the essence of what I envision for this revolutionary Idea. Help bring it into fruition by reading, analyzing, and understanding the conceptual framework I've created. The beginning of the future is now, Read My blogs below, where I bridge the current Web2 centralized legacy gaming systems into a Decentralized Web3 ecosystem, Enabling Gamers to be incentivized, monetized, and recognized for their gaming data-which only will be in their Control.

Welcome to QorTrola Gaming, where #Web3, #Blockchain, #Crypto, #Decentralization, #DePIN, #Data, #Gaming, #BlockchainGaming, #Monetization, #Hardware and #IoT all combine to create a dedicated system for gamers to control and sell their gaming data as they please.

Check it out 👇

https://qortrolagaming.wordpress.com/

[adafruit]

DS2482-800 is an I2C to 8x one wire port converter 🔧🌡️🔗

We like our breakout for the DS2484 (https://www.adafruit.com/product/5976), an I2C to one-wire converter - and got a heads up that there's also an 8-port version called the DS2482-800 (https://www.digikey.com/en/products/detail/analog-devices-inc-maxim-integrated/DS2482S-800/1197437). at first this seems a bit odd: the whole point of one-wire is that you can share that wire with all sensors. But you don't want to have to deal with the DS18b20 sensor addressing to determine what zone it's in that would require hard-coding the unique identifiers. This way, you can have up to 8 temperature sensors that can be hot-swapped.

[cytronicx]

[justtechtalks]

The Rapid Advancement of Technology: A Look at the Latest Developments

Technology is constantly evolving, and it can be hard to keep up with the latest advancements. From artificial intelligence to virtual reality, technology is becoming more and more advanced at a rapid pace. In this blog post, we'll take a look at some of the most exciting and innovative technology developments of recent years, and explore how these advancements are changing the way we live and work.

Artificial intelligence

Artificial intelligence (AI) is one of the most talked-about technologies of recent years. From voice assistants like Siri and Alexa to self-driving cars, AI is becoming increasingly integrated into our daily lives.

One of the most impressive developments in AI is the creation of machine learning algorithms. These algorithms allow computers to learn and adapt without being explicitly programmed, enabling them to perform tasks that were once thought to be impossible. For example, machine learning algorithms have been used to create image and speech recognition software, allowing computers to identify and classify objects and sounds with impressive accuracy.

Virtual and augmented reality

Virtual reality (VR) and augmented reality (AR) are technologies that allow users to experience computer-generated environments in a more immersive way. VR allows users to fully enter a virtual world, while AR overlays digital information onto the real world.

These technologies have a wide range of applications, from gaming and entertainment to education and training. For example, VR can be used to create immersive experiences for gamers, while AR can be used to provide training simulations for pilots or surgeons.

The Internet of Things

The Internet of Things (IoT) refers to the interconnected network of physical devices that can collect and exchange data. These devices can include anything from smart thermostats and security cameras to wearable fitness trackers and smart appliances.

The IoT has the potential to revolutionize the way we interact with the world around us. For example, smart home devices can be programmed to adjust the temperature or turn off the lights when you leave the house, saving energy and making life more convenient.

As technology continues to advance, it's clear that it will have a significant impact on the way we live and work. From AI and VR to the IoT, these developments are already changing the way we interact with the world around us, and it's exciting to think about what the future may hold. As technology continues to evolve, it's important to stay informed about the latest developments and consider how they may affect our lives.

[electricalinsightsdaily]

Understanding ESP32 Pin Configuration: A Developer's Guide

The ESP32 microcontroller has become a cornerstone of IoT development, thanks to its versatility and powerful features. One of the most crucial aspects of working with ESP32 is understanding its pin configuration and capabilities. Let's dive into the essential aspects of ESP32 pins that every developer should know.

GPIO Pins Overview

The ESP32 boasts up to 34 GPIO (General Purpose Input/Output) pins, but not all are available for use in most development boards. Some key points about ESP32 pins:

GPIO 6-11: Reserved for internal SPI flash connection

GPIO 34-39: Input-only pins with no internal pull-up/pull-down resistors

ADC Capabilities: Two 12-bit SAR ADCs, supporting 18 measurement channels

Touch Sensors: Up to 10 capacitive touch GPIOs

Special Function Pins

Several pins serve dual purposes or have specific functions:

Boot Mode Pins GPIO 0: Bootloader mode when pulled low during reset GPIO 2: Connected to on-board LED in many development boards

UART Pins GPIO 1 (TX) and GPIO 3 (RX): Default UART0 communication Often used for flashing and debugging

SPI Pins VSPI: GPIO 5 (CS), 18 (CLK), 19 (MISO), 23 (MOSI) HSPI: GPIO 14 (CLK), 12 (MISO), 13 (MOSI), 15 (CS)

Best Practices for Pin Usage

Strapping Pins Always check the strapping pin status before using GPIO 0, 2, 4, 5, 12, and 15. These pins may affect boot behavior if incorrectly configured.

Input-Only Pins When designing sensor interfaces, prefer GPIO 34-39 for analog inputs as they're input-only and less susceptible to noise.

Pull-up/Pull-down Configuration

ADC Usage ADC1: Can be used with Wi-Fi/Bluetooth active ADC2: Only available when Wi-Fi/Bluetooth is disabled

Common Pitfalls to Avoid

Don't use GPIO 6-11 in your projects as they're connected to the internal SPI flash.

Avoid using strapping pins for critical functions that can't be changed during boot.

Remember that GPIO 34-39 don't have internal pull-up/pull-down resistors.

Be cautious with voltage levels - ESP32 pins operate at 3.3V.

Conclusion

Understanding ESP32 pinout is fundamental for successful project development. By following these guidelines and best practices, you can avoid common issues and make the most of your ESP32's capabilities. Remember to always consult the official ESP32 technical reference manual for detailed specifications and updates.

#ESP32 #PinConfiguration #DevelopersGuide #Microcontrollers #EmbeddedSystems #IoT #Programming #Hardware #Electronics #Arduino #ESP32S2 #ESP32C3 #ESP32C2 #ESP32C6 #ESP32S3 #ESP32H2 #ESP32P1

[prachicmi]

Fleet Management: Ensuring Efficient Transportation of Goods and Services In Industry

Fleet Management

Fleet management refers to the management of a fleet of vehicles, such as trucks, buses, ships or aircrafts used for the purpose of transportation of passengers or goods and delivery of services. The primary goal of management is to ensure efficient transportation of goods and passengers while minimizing operational costs and maximizing returns. Planning and Optimization of Fleet Routes

One of the key responsibilities of fleet managers is to plan optimal routes for vehicles. This involves analyzing pickup and delivery locations, distances between locations, traffic conditions, driver schedules and other factors to map out routes that minimize time, effort and fuel consumption. Route optimization is done using specialized management software that takes multiple inputs to generate the most cost-effective routes. This helps improve efficiency, meet deadlines and reduce fuel costs significantly over time. Vehicle Maintenance and Repairs

Another core function of Fleet Management is to maintain vehicles in good working condition through scheduled maintenance and timely repairs. Managers plan and oversee regular services, replacements and repairs of parts like engines, brakes, tires, batteries and emergency repairs if required. They source vendors for maintenance work and spare parts. Proper maintenance extends vehicle life, improves reliability and reduces unexpected breakdowns that can disrupt operations. Managers keep detailed maintenance records as well. Resource Management and Tracking

Fleet managers are responsible for resource planning and management. This involves procuring the right types of vehicles for the fleet after evaluating organizational needs, roads and traffic conditions. They install vehicle tracking systems for real-time monitoring of locations, mileage, fuel levels, driver behavior and idling times. Tracking makes fleets more transparent and helps identify issues for correction. Managers also procure other resources like fuel cards, spare parts, toll cards and ensure their optimal usage. Driver Management and Safety

One of the critical roles of fleet managers is driver management which involves recruitment, training, performance monitoring and ensuring safety compliance. New drivers undergo training on road safety rules, safe driving techniques, navigating routes, preventive maintenance checks, operational policies and emergency procedures. Regular refresher sessions are also conducted. Driver behavior is tracked and graded based on parameters like speeding, harsh braking, idling to reward safe drivers. This promotes accountability. Regulatory and Statutory Compliance

Transportation fleets need to comply with various regulatory norms for plying on roads. Managers keep abreast of updated motor vehicle regulations related to road tax payment, permits, emission norms, safety standards, insurance and renew certifications as required. They file mandatory returns and handle irregularity challans efficiently. Managers ensure paper works and valid documents are maintained to avoid legal non-compliance that can otherwise disrupt business operations. Financial Control and Budgeting

Fleet managers have to work within predefined budgets and control overall fleet expenses. They develop annual and project-wise budgets considering expected revenues along with estimated costs of vehicles, maintenance, insurance, fuels, employee expenses etc. Variances are analyzed to take corrective steps. Managers negotiate bulk discounts on services and procurements. They explore financing options, calculate depreciation costs, monitor expenditures and cash flows to keep financial management efficient. Emergency Response and Security

Managers develop frameworks to handle emergency breakdowns, accidents or security threats involving vehicles and crews traveling to different locations. Drivers are equipped with emergency contact numbers, first aid kits and safety gear. Customized SOPs help drivers and control rooms respond swiftly in case of emergencies. Managers liaison with repair vendors, authorities and insurance for management of emergencies. The process helps reinstate normal operations with minimal disruptions. Performance Reporting and Continuous Improvement

Fleet managers monitor key performance parameters like route coverage, on-time deliveries, asset utilization, fuel consumption, driver safety records and overall operating costs on a periodic basis. Comprehensive reports help analyze performance trends and identify areas that need improvement. Benchmarking is done with industry standards. Based on findings, corrective actions are implemented like refining routes, schedules, safety norms, training processes and upgrading systems/technologies to optimize fleet productivity continuously. Advancements in Technology

Technology plays a huge role in modern management operations. Managers leverage advanced management software, route optimization tools, vehicle telematics, fuel cards with control features, digital maintenance and service records alongwith GPS, ELD and other tracking devices. Systems enable real-time visibility, automate processes and generate insightful reports and reminders on schedules and due compliances. Advanced technologies maintain transparency, aid data-driven decision making and future proof fleets against disruptions. Skilled fleet managers play a crucial role in ensuring efficient and cost-effective transportation of passengers and goods through a well-maintained fleet of vehicles. Their responsibilities range from planning optimized routes and ensuring preventive maintenance to driver management, regulatory compliance, financial controls and leveraging technology for performance management. A fleet operating at peak productivity can significantly enhance service quality and profitability for any organization.

Get more insights on, Fleet Management

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Vaagisha brings over three years of expertise as a content editor in the market research domain. Originally a creative writer, she discovered her passion for editing, combining her flair for writing with a meticulous eye for detail. Her ability to craft and refine compelling content makes her an invaluable asset in delivering polished and engaging write-ups.

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[ckuehnel]

Meshtastic - Funknetze mit LoRa

Meshtastic ist eine Open-Source-Mesh-Netzwerk-Plattform, die in letzter Zeit an Popularität gewonnen hat. Ihre Beliebtheit basiert auf mehreren Schlüsselfaktoren: Meshtastic ermöglicht die Kommunikation über lange Strecken, ohne auf eine bestehende Infrastruktur (Mobilfunk, WLAN oder Internet) angewiesen zu sein. Diese als Off-Grid-Kommunikation bezeichnete Technologie ist besonders attraktiv…

[creativeera]

Understanding Embedded Computing Systems and their Role in the Modern World

Embedded systems are specialized computer systems designed to perform dedicated functions within larger mechanical or electrical systems. Unlike general-purpose computers like laptops and desktop PCs, embedded systems are designed to operate on specific tasks and are not easily reprogrammable for other uses. Embedded System Hardware At the core of any embedded system is a microcontroller or microprocessor chip that acts as the processing brain. This chip contains the CPU along with RAM, ROM, I/O ports and other components integrated onto a single chip. Peripherals like sensors, displays, network ports etc. are connected to the microcontroller through its input/output ports. Embedded systems also contain supporting hardware like power supply circuits, timing crystal oscillators etc. Operating Systems for Embedded Devices While general purpose computers run full featured operating systems like Windows, Linux or MacOS, embedded systems commonly use specialized Real Time Operating Systems (RTOS). RTOS are lean and efficient kernels optimized for real-time processing with minimal overhead. Popular RTOS include FreeRTOS, QNX, VxWorks etc. Some simple devices run without an OS, accessing hardware directly via initialization code. Programming Embedded Systems Embedded Computing System are programmed using low level languages like C and C++ for maximum efficiency and control over hardware. Assembler language is also used in some applications. Programmers need expertise in Microcontroller architecture, peripherals, memory management etc. Tools include compilers, linkers, simulators and debuggers tailored for embedded development. Applications of Embedded Computing Embedded systems have revolutionized various industries by bringing intelligence and connectivity to everyday devices. Some key application areas include: Get more insights on Embedded Computing

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Alice Mutum is a seasoned senior content editor at Coherent Market Insights, leveraging extensive expertise gained from her previous role as a content writer. With seven years in content development, Alice masterfully employs SEO best practices and cutting-edge digital marketing strategies to craft high-ranking, impactful content. As an editor, she meticulously ensures flawless grammar and punctuation, precise data accuracy, and perfect alignment with audience needs in every research report. Alice's dedication to excellence and her strategic approach to content make her an invaluable asset in the world of market insights.

(LinkedIn: www.linkedin.com/in/alice-mutum-3b247b137 )

[siliconsignalsblog]

Enhancing Battery Life in IoT Smart Camera Hardware Design

In IoT smart home security camera designs, wireless connectivity consumes a significant portion of the power budget. Discover how to manage power efficiently as smart cameras incorporate more processing capabilities.

According to a recent report by Global Market Insights, the smart home security camera market is expected to see significant growth from 2023 to 2032, fueled by a sharp increase in residential criminal activities around the globe.

The U.S. Department of Justice estimates there are approximately 2.5 million burglaries annually. Homeowners are using technology to fight back. IoT adoption in smart homes, such as through easy-to-install video cameras, is boosting detection capabilities and enhancing overall security.

Since these solutions are optimized at the system level, developers of smart IoT video cameras are increasingly integrating machine learning (ML) and artificial intelligence (AI) to address the rapidly expanding security needs. However, there are still some basic challenges for video cameras — and they involve powering devices with batteries that just don’t meet the challenge.

Inherent Challenges With Video Cameras

Today’s top-selling battery-based Wi-Fi smart cameras use batteries — able to last a mere 3 to 6 months. Given the flexibility of IoT devices, the number of devices used, and where they are placed, changing out batteries that often — with the associated costs — is problematic.

Wireless smart cameras often consume a substantial portion of the system’s power — up to 50 percent — just for connectivity, even when they are idle but still connected to the network. Wi-Fi was initially designed for high bandwidth data transfer — not low power. Transmitting radio frequency (RF) consumes immense energy that increases with long-range data transfers.

To fulfill the potential of today’s cloud-connected, always-on, wireless smart video cameras, Wi-Fi transmission needs to operate at power levels comparable to Zigbee and Bluetooth protocols. Achieving these power levels can significantly extend battery life.

This shift towards lower power operation and reduced costs can lead to increased adoption and enable advanced features such as those provided by artificial intelligence (AI) and machine learning (ML).

Design considerations also include integrating Wi-Fi provisioning with Bluetooth Low Energy (BLE). As IoT devices are dynamic, features like Firmware-Over-the-Air (FOTA) can be used to upgrade systems or update AI models. High Wi-Fi throughput supports these updates efficiently, offering operational benefits, lower total cost of ownership, and simplified operation and deployment.

Why is Enhancing Smart Wireless Video Cameras Important?

Wireless smart security cameras and video doorbells monitor activity and respond to motion or sound by sending alerts to a homeowner’s phone or email from the cloud. In contrast, an advanced smart wireless camera with AI capabilities can more precisely distinguish between genuine emergencies and routine occurrences.

AI software uses object modeling and machine learning to continually enhance its functionality and insights. For example, it can recognize a dog running onto the porch as a harmless event and avoid triggering an alert. However, if a window is broken or a package is stolen from the porch, the AI system will record the incident and send a notification.

Cloud-connected smart cameras have three main modes:

Sleep

Wi-Fi idle connected

Active video streaming

In sleep mode, the camera operates at its lowest power level and only activates when a local interrupt, such as a motion sensor trigger or button press, occurs. During this state, current consumption is typically in the range of tens of microamps.

Wi-Fi idle connected requires a slightly higher amount of current, on the order of 100’s of microamps, to monitor for interrupts and to maintain connectivity to the Wi-Fi router to listen for messages from the cloud to wake the system.

With active video streaming, the entire camera system captures and transmits video to a cloud service. This requires a much higher power mode since the camera’s video processor and Wi-Fi chipset are in full operation. In this case, the current consumption can reach approximately 250 mA at 3.3 V.

Maximizing Battery Life is Critical

Maximizing battery life requires minimizing overall current consumption. While this may seem straightforward, it’s far from simple. One key strategy is selecting low-power components for the camera design, including the Wi-Fi chipset, video processor, and power management unit. In such designs, meticulous attention to hardware system design is crucial, as every microamp counts.

By optimizing the functionality to reduce the time spent in high-power modes and efficiently managing system resources, battery life can be significantly extended. For instance, using the Wi-Fi chipset to monitor the system instead of relying on the video processor can greatly increase the operating time of a camera.

Two major challenges in designing video IoT devices are ensuring long battery life and providing reliable wireless cloud connectivity. Surprisingly, only about 10% of video cameras are battery-operated, largely due to battery life constraints. Transitioning to a wireless format has been particularly challenging, as power-hungry Wi-Fi can quickly deplete the batteries of video cameras.

Fortunately, advanced technologies now offer solutions to this issue. With optimized embedded hardware and software solutions, like those provided by Silicon Signals, power consumption can be drastically reduced. This enables battery-operated devices to last longer while maintaining the untethered wireless connectivity required for cloud-based applications. For instance, cloud-connected smart video cameras can now be designed with smaller batteries without compromising on battery life, giving designers greater flexibility in creating compact, efficient, and long-lasting products.

Enabling Technology Based on Digital Polar Radio

Let’s delve into the cutting-edge technology that powers Silicon Signals’ IoT solutions. At the heart of extending battery life for video cameras and enabling a range of future features is our advanced ultra-low power Wi-Fi and BLE platform. By leveraging our innovative digital polar radio design, we effectively address the challenges of power-hungry processing seen in previous radio architectures.

Contrary to the common belief that Wi-Fi consumes too much power for battery-operated devices, our technology defies this assumption. It allows cameras to operate without being tethered to wired connections for both power and network, thus improving data accuracy for cloud processing and offering greater placement flexibility for IoT devices. This approach not only enhances battery life but also paves the way for more versatile and efficient smart solutions.

Proven in the IoT Field

Silicon Signals’ advanced technology is making significant strides in various IoT applications, including enhanced baby monitors, security cameras, video doorbells, access control systems, and identity verification. Our ultra-low power Wi-Fi and BLE platform is at the core of these innovations.

For instance, our AI-enabled smart video cameras, powered by this cutting-edge platform, offer battery life that is 2–3 times longer than current solutions, and even extend to multiple years when combined with a solar panel.

In the realm of smart homes, security systems with real-time threat detection, monitoring, and alerts are essential. Our technology addresses this need by providing IoT Wi-Fi video cameras with significantly longer battery life and efficient power management. This advancement is driving quicker adoption and fostering new, innovative use cases. Additionally, our platform enhances the performance of firmware and AI model updates through high-speed data throughput, ensuring that devices stay current with the latest technology and security improvements.

[qortrola]

[jarrodcummerata]

IoT Development Services

Accelerate your digital transformation with our comprehensive IoT development services. We deliver innovative solutions that optimize operations, enhance customer experiences, and drive growth. Our expertise spans:

IoT Strategy and Consulting: Define your IoT vision, identify opportunities, and develop a robust roadmap.

IoT Platform Development: Build scalable, secure, and cloud-based IoT platforms to support your connected ecosystem.

IoT Device Integration: Seamlessly connect a variety of devices and sensors to collect and analyze data.

IoT Application Development: Create intuitive user interfaces and mobile apps to interact with your IoT solutions.

Data Analytics and Insights: Extract actionable insights from IoT data to optimize processes and decision-making.

IoT Security: Protect your IoT infrastructure and sensitive data with robust security measures.

Our team of experienced IoT engineers combines technical excellence with industry knowledge to deliver exceptional results. Partner with us to unlock the full potential of the Internet of Things.

[avenchsystem]

EMBEDDED SYSTEM FOR INDUSTRIAL AUTOMATION

Introduction

Embedded systems have transformed industrial automation, leading to major increases in efficiency, safety, and productivity. These specialized computing systems, which are integrated into larger mechanical or electrical systems, perform specific functions under real-time computing restrictions. They are widely used in a variety of industries, including manufacturing, energy, transportation, and healthcare. This article examines the importance of embedded systems in industrial automation, including their benefits, uses, and future prospects.

The Use of Embedded Systems in Industrial Automation

Embedded systems are at the heart of industrial automation, allowing complicated processes to run smoothly. They combine hardware and software to complete specific, predefined tasks, frequently under strict real-time constraints. The main functions of embedded systems in industrial automation are:

1.Process Control: Embedded systems monitor and control industrial processes, assuring peak performance and safety compliance. They regulate factors such as temperature, pressure, and flow rates in real time, allowing for precise control over manufacturing operations.

2.Data Acquisition: These systems capture data from a variety of sensors and equipment, allowing for continuous monitoring of industrial processes. This information is crucial for performance analysis, predictive maintenance, and quality assurance.

3.Communication: Embedded systems facilitate communication between different components of an industrial network. They support various communication protocols, ensuring interoperability and seamless data exchange across the network.

4.Human-Machine Interface (HMI): Embedded systems provide interfaces for operators to interact with industrial equipment. HMIs, such as touchscreens and control panels, allow operators to monitor system status, input commands, and receive feedback.

Benefits of Embedded Systems for Industrial Automation

The integration of embedded systems in industrial automation provides various benefits:

1.Increased Efficiency: Automated systems can run continually without tiring, lowering downtime and boosting total productivity. Embedded systems optimize processes by making real-time adjustments based on sensor data, resulting in better resource use.

2.Enhanced Safety: Embedded systems increase safety by monitoring vital parameters and alerting or shutting down when irregularities are discovered. They also allow for the use of advanced safety standards, such as emergency stop functions and fail-safe mechanisms.

3.Cost Savings: Automation lowers labor expenses and reduces human error, leading to cost savings. Furthermore, predictive maintenance facilitated by embedded technologies can help to avoid costly equipment breakdowns and increase machinery lifespan.

4.Scalability: Embedded systems can be scaled to meet the needs of a wide range of industrial applications, including small-scale operations and big, complex manufacturing plants. They can be quickly upgraded or reprogrammed to meet changing manufacturing requirements.

Application of Embedded Systems in Industrial Automation

Embedded systems are used in a variety of industrial automation applications.

1.Manufacturing uses embedded systems to manage robotic arms, conveyor belts, and CNC machines, assuring precision and uniformity in production. They also manage inventories and logistics.

2.Energy: In the energy industry, embedded systems monitor and control electricity generation, delivery, and consumption. They are critical in managing renewable energy sources like wind and solar by optimizing their integration into the system.

3.Transportation: Embedded systems are used to manage traffic, control vehicles, and monitor infrastructure. They improve the efficiency and safety of transportation networks, including railways and smart highways.

4.Healthcare: Embedded systems regulate medical instruments and equipment, ensuring precise and dependable performance. They are utilized in diagnostic devices, patient monitoring systems, and automated laboratory instruments.

Future Prospects

The future of embedded systems in industrial automation looks bright, thanks to technological breakthroughs such as the Internet of Things (IoT), artificial intelligence (AI), and machine learning. These advancements will allow for more comprehensive data analysis, predictive maintenance, and automated decision-making.

1.IoT Integration: The combination of IoT and embedded systems will result in networked industrial settings in which devices interact and collaborate effortlessly. This will result in better, more responsive automation systems.

2.AI and machine learning algorithms can be integrated into industrial systems to analyze large volumes of data and optimize processes. These technologies will help with predictive maintenance, process optimization, and defect identification.

3.Edge computing moves computational power closer to the source of data, lowering latency and boosting real-time decision-making. Embedded systems with edge computing capabilities will allow for faster and more efficient automation operations.

4.Cybersecurity will become increasingly important as industrial automation systems become more networked. Future embedded systems will include improved security capabilities to defend against cyber threats and maintain the integrity of industrial operations.

Conclusion

Embedded systems are at the heart of industrial automation, boosting efficiency, safety, and innovation across a variety of industries. As technology advances, the capabilities of these systems will increase, resulting in increasingly more complex and intelligent automation solutions. The integration of IoT, AI, and edge computing will further change industrial operations, ushering in a new era of smart manufacturing and more.

https://avench.com/