BroadMission delivers complete hardware, software and training solutions built on AI, 5G/IoT and cybersecurity. Our work in biomedical sensing, vision and data analytics is deployed across security, industrial safety, marketing and manufacturing, for clients ranging from major Taiwanese and international companies to public agencies and SMEs.
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We combine imaging, signal processing and embedded devices to build biomedical sensing products for everyday settings.
Patents covering precise AI detection and localisation, face and body, scene, action and feature recognition. Highly customisable and in use for industry, marketing, security and other specialised applications.
BroadMission Academy, our education division, teaches cutting-edge AI, 5G networking, cybersecurity and programming.
Data AI analytics applied to financial big data, marketing, security monitoring, blockchain and other fast-moving fields.
BroadMission sets out to change how we live through technology and ideas. We develop smart technology that moves everyday life forward, and we work to make technology approachable, because we believe people are the core value for which this world was created. We hope this mission will reach the ends of the earth.
“We hope to bring people into the promised land through technology. This is the mission of BroadMission.”
Hardware and software solutions, with product planning, design and development tailored to your needs.
Consulting on AI, 5G and cybersecurity from our team of specialist advisers.
BroadMission Academy offers complete software and technology training programmes for companies, including public courses and custom in-house training.
Just face the camera: nothing to wear, nothing to touch. The device uses an ordinary camera to pick up subtle changes of light in the face, estimates the heart rate within seconds and shows it on its built-in screen.
Palm-sized, with its own screen and processor, it works as soon as it is plugged in, and suits reception desks, homes, gyms and long-term care settings.
Sensors track the heartbeat rhythm in real time and drive multi-chamber cuffs around the legs. Between heartbeats, the cuffs inflate in sequence from calves to thighs to hips, then release together.
It combines heart-rhythm sensing, pressure control and safety monitoring, with timing and pressure settings adjustable for each setting.
The products on this page are not medical devices. Readings and user experience are for general wellness reference only and are not intended for the diagnosis, treatment or prevention of any disease.
BroadMission holds multiple patents in AI vision and builds its own front-end and back-end stack, addressing medical, security, detection, industrial safety, access-control and smart-vehicle needs. Our clients include major Taiwanese and international companies, public agencies and SMEs. With fully in-house technology, we offer highly customised planning, development and service.
BroadMission BMVision® combines the latest AI vision techniques with our own efficient custom models and low-level integration to deliver accurate, versatile, high-performance visual detection. It works with existing cameras, sensors and information systems to get the most value for your business.
BroadMission builds its own front-end and back-end systems on a tightly integrated vision AI architecture.
BroadMission applies AI and statistical methods to forecasting, control and analysis, helping clients solve problems quickly. Our engineers keep up with the latest in electrical and computer engineering and put it to work efficiently across many fields. We have achieved strong results in financial data analytics, marketing analytics, and continuous and discrete industrial processes, with applications in trading bots, smart advertising platforms, Industry 4.0, blockchain, IoT devices, drones, SLAM mapping and localisation, smart lighting control for agriculture, business and home, smart solar controllers, and 3D printers.
Covers how LLM-based agents are built: tool calling, task planning, memory, and multi-agent collaboration, with hands-on work connecting external tools and data sources.
For developers with programming experience who want to bring language models into real workflows. You will be able to design and build simple agent applications.
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Write, debug and refactor code by describing requirements in natural language and working with AI coding assistants, practising task breakdown, prompting and code review.
For engineers who want to work faster and for project staff with limited coding experience. You will be able to complete small projects together with AI tools.
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Explains the Transformer and self-attention, pre-training and fine-tuning, prompt engineering, embeddings and semantic search, and retrieval-augmented generation (RAG).
For learners with Python and machine-learning basics. You will understand how large language models work and be able to build basic applications on them.
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Covers parallel computing, GPU architecture and memory hierarchy, the GPU programming model, NumPy vectorisation, PyTorch GPU tensors, profiling and multi-GPU scaling.
For engineers and researchers who need faster computation or model training. You will be able to find bottlenecks and use GPUs to speed up your code.
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Starts from neural networks and loss functions, then covers CNNs, RNNs, LSTMs, autoencoders, VAEs and Transformers, with training and evaluation in Keras.
For learners with Python and machine-learning basics. You will be able to build and evaluate deep-learning models for image and text data.
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Introduces physiological signals such as PPG and ECG and their noise sources, covering filtering, spectral analysis, signal decomposition, quality assessment and feature extraction.
For engineers and researchers working on biomedical or wearable devices. You will be able to take physiological signals from pre-processing to feature analysis.
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The first half covers filtering, decomposition and denoising of time-series sensor data; the second covers CNN image classification, YOLO object detection, semantic segmentation and multimodal fusion.
For learners with Python and machine-learning basics. You will be able to choose suitable methods for processing and analysing sequential signals and images.
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Covers data exploration and feature engineering, data splitting and validation, linear and logistic regression, SVMs, decision trees and ensembles, clustering and dimensionality reduction, using scikit-learn.
For learners with Python basics who want to move into data analysis and AI. You will be able to run the full workflow from data preparation to model evaluation.
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Introduces embedded hardware and software architecture, peripheral interfaces and communication protocols, real-time operating system concepts, and application development and debugging on embedded Linux.
For engineers who want to build IoT or smart devices. You will be able to develop and deploy applications on embedded platforms.
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Explains system modelling and control with neural networks: system identification, neural controller design, stability concepts, and comparison with classical control methods.
For engineers and researchers with a background in control or machine learning. You will be able to apply neural networks to control-system design and simulation.
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Starts with variables, data types and control flow, then covers functions, modules and packages, exception handling, file I/O, and data handling with CSV, JSON and pandas.
For beginners or anyone who wants solid foundations. You will be able to write Python programs for everyday data processing and automation.
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Covers performance evaluation, instruction-set architecture, RISC-V instructions and assembly, datapath and control unit, pipelining, caches and memory hierarchy, and multicore and heterogeneous computing.
For learners with a computing or electrical-engineering background. You will understand how processors work and be able to analyse how code performs on hardware.
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Introduces microprocessor and microcontroller architecture, instructions and assembly, memory and I/O interfaces, interrupts and timers, and peripherals such as GPIO, UART, SPI and I2C.
For learners interested in hardware control or firmware development. You will be able to program microcontrollers and common peripheral components.
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Covers recursion, sorting and searching, complexity analysis, divide and conquer, dynamic programming, greedy algorithms and string algorithms, each implemented in C++ and tested.
For learners who already know how to program. You will be able to analyse a problem, choose a suitable strategy and write correct, efficient code.
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Covers linked lists, stacks and queues, trees and binary search trees, heaps and priority queues, AVL and 2-3 trees, and graph representation and traversal.
For learners with C/C++ basics. You will be able to choose data structures that fit a problem and analyse the time complexity of their operations.
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Builds on core C++ with STL containers, iterators and algorithms, RAII, smart pointers and ownership, and practical object-oriented design.
For developers who know basic C++ and want to write more robust code. You will be able to use the STL and modern C++ idioms in real applications.
Enquire BACKBroadMission is passionate about changing the way we will live through technology and ideas. We believe technology exists to solve everyday problems, that ideas are the key to changing the world, that change can reach the ends of the earth in this fast-moving age, and that people are the core value of this world.
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