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Yet another review..!! Happiness loading for the work..!!

Hi all... Thanks for all your efforts in sending images of Indian currency for our project.. We have received enormous images which serve purposes.. For any clarification and support contact us @embeddedfru48

Hi All.. It just takes 5 mins of your time.. V r building dataset of Indian currency.. You will also need it some time.. Pls do send..

Hello All.. Good evening.. It's time to ask a favour from u all.. We are working on a project and we need images of Indian currency for that.. Pls take out Ur camera and click images of new 10, 20, 50, 100 and 500 ruppes and do send to us.. U can send through telegram id - @embeddedfru48 or do mail us - info.embeddedfru@gmail.com

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Our progress with your support during 2019 137 projects delivered 32 workshops done 7 internships 2 software drivers solely developed and delivered Thank you for all your support 2020 embeddedfru Branding will be done.. Contact us: @embeddedfru48

7. Large volume of data is worthless unless you know how to make sense out of it:  Quantity of data doesn’t ensure success, but quality data does. Ensuring the right data to be collected at the start of the project leads to success. 8. Subscription revenue is sustainable over product sales:  Revenue from IoT is sustainable only if the revenue is from a subscription model. One-time product sale will never generate revenue. 9. Competition Catches up earlier than expected:  An IoT solution that is relevant and adds value to customer only succeeds. Cost is not a major factor and low-cost competition catches up earlier than you expect. Demonstration of value for money (Bang for the Buck) is a must. 10. Use open source for profitable IoT business:  Build solutions based on open source as this allows you to upgrade and migrate easily. This is true in the cloud software. 11. Solution/Product support is a must:  Plan up front for multiple level of support. Good IoT projects have failed because of lack of support from solution provider. 12. Success of an IoT solution comes from understanding the client’s process not from the Statement of Work:  Spend time in understanding the client’s process and workflow well rather than depending on the Statement of Work given by the client which covers little data.

12 Laws of Internet of Things 1. IoT is a not a product but it is a Solution:  Success in IoT is possible only if the companies solve a customer’s problem or save cost or comply to standards. Just making a ‘thing’ or a piece of cloud software will not lead to success. 2. Hardware is a vehicle for revenue not a principle source of revenue:  IoT is not a commodity product that hardware can be sold, and money can be made. Hardware in an IoT solution is just an enabler for revenue not the only source of revenue. 3. Success in IoT depends on good design engineering and not technology:  An IoT solution will be successful only if the product is reliable, rugged and low cost, not on the latest technology. 4. Network will not be available everywhere and all the time:  Never assume network connectivity will be available always and everywhere. This is true especially in RF network and connectivity. RF circuitry follow Murphy’s law! 5. IoT solution will be successful only with partnership not by a single owner:  Any successful IoT product is a result of partnership with partners bringing the best in them. No single company can create an IoT solution alone! 6. End-to-end software has to be developed together:  Stitching multiple pieces of software will not succeed. They have to be developed together.

Firmware extraction techniques 👉 With physical access to the device, a technique for extracting the firmware is to directly read the device’s storage memory. We can identify and remove the memory chip from the board, solder it on another board and extract the firmware. It works, but can be quite painful and maybe a little risky. 👉 A less risky technique is to simply read the device’s storage memory through a connection to the bootloader or operating system of the device. 👉 If none of these techniques are viable, the JTAG interface may be a good option!

Why extract the firmware from an electronic device? 👉 Imagine an electronic device like a router, an IP camera or a hard disk. 👉 Now imagine that you want to understand better how the device works, but you don’t have much information about it. Extracting and analyzing the firmware image can be a viable option to understand its operation. 👉 You may want to improve or change the behavior of the device. Without access to the source code, one possibility is to extract the firmware to make the necessary changes and then update the device. 👉 What if you forgot your credentials and lost access to the device? One possibility to regain access is to extract and change the firmware image. 👉 If you are a security researcher, you may want to extract the firmware of the device to look for vulnerabilities in the software. 👉 And what if the device is very old and is no longer being manufactured or sold by the vendor? You may want to clone it, and extracting the firmware image will be essential in this process. 👉 Even if it’s just for fun!

JTAG 👉 JTAG is a physical hardware interface that makes it possible, among other things, to extract the firmware image from electronic devices. 👉 The firmware, a program that executes in a dedicated way and with a specific purpose in a microcontroller or microprocessor, is usually stored in a persistent memory device like a NAND/NOR flash or EEPROM. 👉 The extraction process involves reading and copying the firmware image stored in the device’s memory to a file on your computer. This process of extracting the firmware image is also called dumping or snarfing.

👉 The BlueDot used machine learning and natural language processing techniques to prepare its model that subsequently sifts through news reports in 65 languages, airline ticketing data, and animal disease networks. 👉 After the automated system completes its working, the results are analyzed by trained Epidemiologists who make sense of the reported data conclusions from a scientific standpoint. 👉 Eventually, a report is generated and is sent to BlueDot’s clients. 👉 BlueDot’s reports are then sent to public health officials in a dozen countries, airlines and frontline hospitals where infected patients might end up. BlueDot doesn’t sell their data to the general public.

👉 BlueDot works on an AI-driven algorithm to search animal or plant disease networks, foreign-language news reports, and official statements to provide advance warnings to its clients about danger zones. 👉 The Canadian firm specializes in automated infectious disease surveillance systems based on artificial intelligence that combs through news reports, animal and plant disease networks, and official proclamations and gave its clients warnings of danger zones like Wuhan ahead of the outbreak. 👉 With access to global airline ticketing data, the firm correctly predicted the spread of the virus from Wuhan to Bangkok, Seoul, Taipei, and Tokyo in the days following its initial appearance.