Raspberry Pi 5 + LoRa (SX1278) + USB Camera Integration

@SMBelectronics

Hello, I read the project discription, and I found this within my competence and can deliver exellent results I’m Abbas Jawadwala, Co-founder and Lead Engineer at SMB ElectroTech. With 5+ years in electronics design and hardware development, I’ve supported clients globally with everything from IoT devices to multi-layer PCB layouts. My team and I focus on reliable, manufacturable solutions delivered on time with full transparency. Here’s how we can help: 1. PCB Layouts – multi-layer, signal integrity, DFM checks 2. Embedded Systems – firmware for AVR, ARM, ESP, Arduino 3. Product Development – prototyping, testing, optimization 4. Power Electronics – converters, power supplies, efficiency tuning 5. Analog/Digital Circuits – grounding, shielding, EMC/thermal analysis What sets us apart is our client-first approach and attention to detail. I usually take on one project at a time, ensuring focus and quality at every stage. I’d be glad to learn about your goals—whether it’s performance, cost, or schedule. I’m available to start right away and can jump on a call this week to plan the next steps. Looking forward to connecting. Best regards, Abbas Jawadwala SMB ElectroTech

@KarthikTechCon

Hello, I’m Karthik, an Embedded/IoT specialist with 10+ yrs experience in Raspberry Pi, computer vision, LoRa, and UART-based integrations. I’ve delivered several Pi 4/5 solutions combining camera processing, long-range LoRa, and microcontroller comms. Approach: Camera + Motion Detection with OpenCV to trigger mapped UART commands. LoRa (SX1278) integration on Pi 5 for RX/TX; received commands forwarded to UART reliably. UART Protocol defined for both camera events & LoRa RX. Clean Python/C++ implementation, documentation, and test logs. Why Me? ✔ Strong Pi 5 hardware integration & Linux debugging experience. ✔ Hands-on with OpenCV, YOLO, long-range LoRa comms. ✔ Past deployments achieving >8–10 km range. ✔ Milestone-based delivery within 1 week. Deliverables: Tested Pi 5 code, setup docs, UART mapping, and performance report. Ready to discuss approach, cost, and timeline. Best regards, Karthik

@CyberSasu

Building upon my proficiency with Raspberry Pi 4/5 and prior experience in Computer Vision, I'm positioned perfectly to deliver the efficient and reliable solution your project demands. I have a strong background in Electronics, Embedded Systems, and Microcontroller programming. This, combined with my experience in software development and knowledge of Python will enable me to smoothly integrate the USB camera and SX1278 LoRa module with your Raspberry Pi 5. Furthermore, my previous work with OpenCV & YOLOv8 based motion detection algorithms can greatly assist in achieving your primary goal of subject movement detection. Notably, I have successfully completed projects such as mobile-app development using Android, PHP & MySQL among others— ensuring distinct expertise in various technical facets. And with specific understanding of UART communication with microcontrollers like Raspberry Pi 5, I assure you accurate mapping of commands whether they are from the camera processing or LoRa RX. To encapsulate, I am well-prepared to offer not just the technical acumen necessary for this project but also effective communication skills essential for documentation and continuous updating throughout the journey. Be assured that I am highly focused on delivering quality deliverables within the set timeline while offering scalable solutions that will endure future advancements for hassle-free maintenance. Let's talk budget now!

@niveditaj1

Hello, I have experience with similar RPi projects and have a few queries. What is the complexity of the required "subject movement detection," for example, is simple motion enough or do you need object identification? What is the external controller connected via UART, and what environment will the LoRa communication operate in (urban, rural, etc.)? Lastly, do you want me to deliver the code, or do I need to set it up on your system? I can handle the integration of the USB camera and SX1278 LoRa module on the RPi 5. For the camera, I'll implement an efficient CV solution to detect movement and translate it into UART commands. This part will be built to be easily extendable. I will also ensure the LoRa module reliably receives commands and forwards them to the UART interface. Thanks, Nivedita

@danishkhan51572

I am Danish, an AI & Automation Developer with 4+ years of experience in building scalable, intelligent systems that empower businesses to work smarter. My focus is on designing AI agents, chatbots, and process automation solutions that streamline workflows, enhance customer engagement, and drive efficiency. Core Expertise: AI Agents & Chatbots: Natural Language Processing (NLP), conversational AI, and intelligent assistants tailored to client workflows. Automation Systems: Workflow automation, data pipelines, and robotic process automation (RPA). Decision-Making Tools: Predictive analytics and AI-driven insights to optimize operations. I prioritize clean, maintainable code and ensure every solution is scalable, reliable, and future-ready, helping clients stay ahead in the AI-driven world.

@Tripathi7790

Hello, I have hands-on experience with Raspberry Pi 4/5, OpenCV, LoRa (SX1278), and UART-based microcontroller communication, making me a strong fit for this project. Here’s my proposed approach: ? Camera + Motion Detection Integrate USB camera with Raspberry Pi 5. Use OpenCV / lightweight YOLO for motion detection or object presence. Map each camera event (movement detected, object in frame, etc.) to pre-defined UART commands. ? LoRa Integration Connect and configure SX1278 module for long-range (up to 10 km). Receive commands from LoRa → forward to UART in real time. Ensure stable, low-latency communication even in varied environments. ? UART Communication Define and document a clear UART protocol. Commands from both Camera events + LoRa RX will be translated and transmitted to the external controller. ? Deliverables Python-based implementation with modular design (easy to extend for new triggers). Source code + setup guide for in-house replication. UART mapping document + test logs/screenshots. Basic integration test demo. With my prior work in embedded IoT + vision systems on Raspberry Pi, I can deliver a tested, production-ready solution within 7 days. Looking forward to working with you, Saurabh Tripathi

@akasidehustle

I have hands-on experience with Raspberry Pi 4/5 hardware integration, OpenCV motion detection, and LoRa (SX1278) communication. I can build a complete solution where the Pi 5 captures video from a USB camera, detects subject movement using OpenCV/YOLOv8, and sends mapped commands over UART. I will also integrate the SX1278 LoRa module to receive remote commands and forward them reliably to UART. Deliverables will include tested code in Python/C++, detailed setup instructions, UART command mapping, and testing logs/screenshots. I will deliver within 7 days with milestone-based progress updates.

@SiavashTP

The NUCLEO-WL55JC STM32WL Nucleo-64 board provides an affordable and flexible way for users to try out new concepts and build prototypes with the STM32WL Series microcontroller (IoT & LoRaWAN), choosing from the various combinations of performance, power consumption, and features. We provide firmware that establishes a secure and reliable wireless connection within the sub-GHz frequency range (LoRaWAN) between your sensor and a host PC using two NUCLEO-WL55 boards. In case you are interested drop a message we'll be in touch with you shortly.

@Bhargav99786

Hi there , we have been made that same thing but it is help of pi camera and lora module we have working with ai thinker module we have done working in both sector image process as well as rf technology, we have ready to solve your problem , connect for more detail we give complete proposal reach out for more detail

@panchalssolution

Hi There, I specialize in building reliable, production-grade solutions for embedded and IoT systems. I’ve worked on multiple freelance projects involving Raspberry Pi, camera integration + OpenCV, LoRa communication, and hardware-level control. Experience: - Delivered Raspberry Pi–based automation systems for industrial and consumer applications - Integrated LoRa modules for long-range wireless control - Built camera-triggered computer vision systems for motion-based alerts and device control - Worked with UART-based communication protocols across microcontrollers What I’ll Deliver: - Fully working Raspberry Pi 5 setup with camera and LoRa integration - Codebase in Python or C++ with clear documentation - Setup instructions for replication - Command mapping document for UART triggers - Test report with logs/screenshots I’ve completed similar freelance projects and can deliver this within your timeline. Let me know if you'd like to see samples or discuss next steps. Thank you !

@Namish330

I can make it on esp which will reduce its cost and will work properly and also make it in less size as compared to raspberry pi