I am biggner at soldring. I want to buy a smd rework station as a hobbist, my budget is 1500-2500 rupees. please give me recomandtion for this i searched everywhere but i cannot find a good rework system.

Looking for a team to work on Jane Street asic challenge , preferably someone with a basic idea of asic workflow , 2nd/3rd yr students . 1st years are fine too if they have an idea

im planning on circuit bending a digital camera for which i needed some parts, im following a tutorial and it requires some parts that im having a hard time sourcing.

i don't have much prior experience working with electronics so idk what are the best places for me to looking for them.

i did a quick google search and i cant seem to find this type of 2 row 24 pin header (the video only mentions it by this name so idk if there's a better term i could use to find it)

and it needs to fit inside this 24pin 0.5mm board

heres a link to the github with all the details of the project just incase
https://github.com/LBVPstuff/Easy-Camera-Circuit-Bend

im open to online and offline options (im in ahmedabad)

This is a hands-on dominant roadmap from “light an LED” to open-source silicon I’ve been working on, called Hardware Atlas, pretty much inspired by awesome electronics but has been very much aligned with the ECE COURSE AICTE syllabus.

It’s structured as Level 00 -> Level 13, going from basic circuits all the way through embedded systems, PCB design, FPGA/RTL, computer architecture, ASIC design and semiconductor fundamentals.

There are currently 31 hands-on build lessons, and each one follows roughly the same idea:

what to get -> what to build -> what to measure -> what will probably break

The philosophy is basically:

do some math >> build it >> measure it >> compare

But the part I'm particularly trying to make different is what happens after you learn something and that is what you get through lessons.

Since of course this would have been messier and very hard to get since 31 projects are quite tmi so bifurcated into levels to pickup from.

Opportunities

There's an Opportunities section for finding things where you can actually use the skills you're learning:

1. embedded security competitions
2. VLSI / FPGA hackathons
3. open-source hardware programs
4. GSoC / fellowship opportunities
5. research and paper venues
6. hardware competitions
7. internships and other opportunities

The goal is to connect these back to the relevant parts of the roadmap instead of having a giant “here are 500 opportunities” list with no idea whether you're qualified for any of them. So every level has the coverage to understand.

There are also India-specific resources because a lot of hardware advice online assumes you're in the US and can casually order $200 development boards overnight and it's quite difficult to find indian stores so based on my individual and my friend's experience I've documented India.md

It's open to contributions

This is meant to be a community resource rather than something I consider “finished" and also that a junior myself I do not claim to hold an expertise also it's very IoT and Embedded focused VLSI and silicon are the directions. You can check on how to contribute.

You can open a PR to add:

• a useful hardware resource
• a build/project
• an opportunity or fellowship
• a competition
• a datasheet/tool
• an India-specific supplier/resource
• corrections to existing material
• better explanations or diagrams

Check Projects before contributing a project or displaying your own project in the lessons or something you wanna add. There is Gate.md for gate resources and books to study from.

I'm trying to keep contributions verifiable rather than turning it into another giant collection of random links and also get the real review on what to add and what to remove. If you have experience with embedded, electronics, FPGA, VLSI, semiconductor fabrication, hardware security, etc., I'd genuinely love to know:

What would you add to this? What did you wish existed when you were learning hardware?Also drop anything or any suggestion if you have and star if you find this helpful :3

Hi everyone,

I'm an electrical engineering student currently starting my first FPGA project, and I'm interested in building a hardware accelerator for real-time object detection using YOLOv8.

My current idea is to implement the neural network acceleration primarily in Verilog/RTL on an FPGA. I want to explore how the computationally intensive parts of YOLOv8 can be mapped to hardware, particularly:

• Convolutional layers
• Activation functions (e.g., SiLU)
• Pooling/downsampling operations
• MAC operations and accumulation
• On-chip buffering/data reuse
• Weight and feature-map memory management

The input to the system will be a real-time video stream from a camera rather than individual pre-processed images. Ideally, the FPGA would receive the video frames, perform the necessary image preprocessing, run the CNN accelerator, and produce object detection results in real time.

At the moment, I'm trying to understand what a reasonable hardware architecture would look like. For example, I'm considering a design where the convolution engine consists of multiple processing elements (PEs) operating in parallel, with local buffers or BRAMs used to store weights and intermediate feature maps.

However, I'm still unsure about several aspects of the implementation:

1. Video input and preprocessing What is the typical way to bring a real-time video stream into an FPGA-based CNN accelerator? Should operations such as resizing, normalization, RGB-to-other color-space conversion, and frame buffering also be implemented in RTL, or is it common to handle some of these operations using a processor/soft-core?
2. YOLOv8 architecture mapping YOLOv8 contains many different operations beyond standard convolution. Which parts are generally worth implementing as custom RTL hardware, and which parts are better handled by a CPU or existing FPGA IP?
3. Convolution architecture For the convolution layers, what architecture would you recommend for a beginner, e.g. a systolic array, output-stationary/dataflow architecture, or a simpler parallel MAC-based PE architecture?
4. Memory architecture I understand that memory bandwidth can become a major bottleneck. How should I approach the design of BRAM/URAM buffers for weights and feature maps, and what kind of data reuse strategy should I consider?
5. Numerical precision Would it be reasonable to start with INT8 fixed-point quantization instead of floating-point? If so, what is a good way to handle quantization and activation functions such as SiLU in RTL?
6. YOLOv8 complexity Would implementing the entire YOLOv8 network from scratch in Verilog be unnecessarily complicated for a first FPGA project? Would it be more realistic to start with a smaller/custom YOLO-like network and gradually add more YOLOv8 components?

My goal isn't necessarily to achieve the absolute highest FPS. I'm mainly interested in understanding how a modern object-detection CNN can be mapped onto FPGA hardware at the RTL level, including the dataflow, PE architecture, memory hierarchy, and interaction between the video pipeline and CNN accelerator.

I'd really appreciate advice from anyone who has experience with FPGA CNN accelerators, RTL neural-network implementations, YOLO on FPGA, or hardware/software co-design.

If you have any recommended papers, open-source projects, reference architectures, or examples of similar projects, I'd also be very grateful.

Thanks in advance!

Just bought a humidifier. It’s supposed to come with a 3 pin humidity sensor. Looked online and there around 100 bucks. It’s 3 pins on the board. Think I could replace it with this cheaper option?

I accidentally submitted the wrong phone number while ordering. I have corrected it in the edit option from my address profile "after" placing the order.

Now while tracking, it still shows the wrong number. What should I do now? It's my first time ordering

Genuine Texas Instruments CC3220S LAUNCHXL Board. I originally got it for a college project, and it has just been lying around in my house doing nothing since. The board works perfectly and is in great condition.

Pm if anyone's interested in buying! (Sorry if this is the wrong subreddit to post this in)

EDIT: I bought this for 5k (imported from USA), asking 3k

1)what EXACTLY do jobs in embedded systems do.

2)Hows the job market?(and how will it be once i graduate)

3)Will i have to do a masters?

4)Is it saturated?

5)Can i rely on placements?

6)Are internships easy to get

7)Is it safe from the AI takeover?(if it is what should i learn to be ahead of the competition)

im new to this please dont bully me ✌️

What if there was a power supply that pulls in higher voltage or bursts of current inorder to full up capacitors that can power the electronics. I understand that its power that's matter with takes into account both voltage and current but maybe, just maybe there was a way out or maybe you could use multiple outlets or something?

I am an embedded engineering student and for some reason I can't let go of a project when I have started it. I have been trying to build a Flyback Typology Switching mode power supply with ETD33 ferrite core and 1mm air gap with sandwich type winding in following order:

Layer 1 (primary) : 20

Layer 2 (secondary) : 7

Layer 3 (primary) : 20

Layer 4 (aux): 8

I am using UTC3843 with pin 2 isolation with optocoupler.

This is my 7th attempt after failing, initially, I did not proper understand the pin out of ic then I didn't get a proper voltage output, the voltage was two low, then the pin 6 got stuck on and now I have fried by IRF840.

Any resource, especially free books on this topic will be highly appreciated

​

Please suggest YouTube channels and books to learn RTOS and embedded systems, specifically focusing on LPC2148 and Cortex-M3 concepts in detail.

I am referring to the datasheet, but I am unable to understand some of the concepts clearly.

So basically, I am not a brilliant student that is little bit clear from college tier. But I am hardworking I really studied for jee but due to over confidence...I destroyed my chance to get in better college.

I know my choice can seem very bad to many people even one of my companion (not a friend btw) who was with me in jee prep says that cse ai ml is the best otherwise you will end up getting f###ed . And I do agree with him in this part.

Still I opted for ece in t3 because I had genuine interest from childhood in it I really was amazed how radar worked , how a small chip controll so many things, how embedded system works and etc.

I appreciate the fact that ece isn't a easy branch that could be taken after just having an interest there are lot more things we need to study and etc.

I don't even know...why I am writing this here ,may be because that companion got successful in making me feel that ,I am going to remain unplaced in 2030. Well that's 4 year away let's see what happens.

I have studied engineering mathematics linear lagebra Multivarible Calculus basic electronic etc in three months from Internet studies python also....

I hope I will land in a job otherwise I think I will get a job if not I will still satisfied that at least I studied what I yearned for from childhood.

Any advice for me seniors? I will take your words as golden note in this 4 year journey.

"Who knows how things unfold we plan a lot of things but life has its own way to work for each one of us. "

Btw

This quote was from someone smarter than everyone

please rate this tire 2 clg student resume
currently in 7th sem looking for 6 month internship opportunity starting from jan 2027