AI Camera: Camera Module with AI Soc soluton integrated
An AI camera is a camera that uses artificial intelligence to help image processing, or recognize objects through intelligence, or optimize output based on the scene to take better photos, or better image recognition. Our AI1001 Soc is the first AI single chip solution with CMOS Image Sensor (CIS) and the processor embedded can be programmed with AI training code for image processing and recognition. The integrated AICM1001 camera module and SOC provides all the necessary interfaces over a small flex cable design. More details please review: AI SoC Camera Module AICM1001 Introduction.
As the Sigmastar's partnership, IADIY also can support high end AI recognition module like using Sigmstar Soc (integrated dual-core Cortex-A7 1.2GHz processor) control core, integrated 128MB-DDR3 memory, 512MB NAND Flash, and 1080P camera. With embedded Linux operating system and rich software and hardware resources and development tools integrated, this AI camera is committed to bringing users a simple and efficient AI development experience out of the box.
The Advantages: Compact, Simple Interface, Cost Effect
Compact Design
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Single Chip embedded AI SoC with CMOS Image Sensor
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Compact AI SoC Camera Module AICM1001
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Simple & Flexible peripheral interface
The
AICM1001 camera module uses a common 32 pin pinout. It supports status LED, flicker compensation, microphone, speaker and even a G sensor
interface as HMI features. Compatible with mature production capabilities, the Camera Module has a flexible peripheral interface
design which can be easily adapted for various applications.
Convenient & Cost Effect
A convenient and user friendly development board supported with a
complete Software Development Kit (SDK). The AICM1001 camera module integrates CIS, MCU and neural network into a single-chip solution,
using a very mature and high-yield assembly process to provide a very cost-effective solution.
Applications
AICM1001 provides an optimized low power single chip edge computing solution with an integrated image sensor for interactive smart applications.
Artificial Intelligence SoC camera module is not only applicable for a wide range of consumer products but can also be easily integrated into
different industrial systems.Smart Home
Lighting Control, Window Blinds, Security & Access Control, HVAC Control, Entertainment, Home Healthcare touchless control, Touch-free interface to smart home devices, Robot vacuum cleaners, lawn mowers etc. AI SOC
camera is different from traditional motion detection sensor, it can work independent and identify the movement of an objet by seeing a real
image instead of just detecting frame to frame differences. The SoC’s motion detection could be programmed to trigger the required function
once it has detected a target object such as a human being. The result is that the device's power consumption could be reduced leading to
longer battery life and false alarm reduction by more than 80%. It could be built into many different home appliances without the need for
connection to a central hub using WiFi.Smart Accessory
Examples include mobile phone stands, portable smart speakers, MP3 players, charging docks etc. AI camera is capable of gesture motion identification. The target gesture poses could be programmed according
to actual application requirements, such as specific gesture poses or arm waving direction. Each target movement input can trigger a specific
signal to enable pre-programmed functions. These functions could include power on/off switching, status LED flashing, audio playback,
volume increase/decrease, or previous/next function buttons….etc. All the functions could be activated without the need to touch any button
or needing to connect to the internet for background computing. They could be widely applied in traditional speakers, smart speakers or
other existing accessories that could benefit from an AI upgrade.Smart Toy
Examples include plush toys, tabletop games, puzzles, sports equipment, reminder alarms, pen following/ tracking electronic toys and pre-school products. AI camera can host face detection algorithms, which could be used to identify a real person's face. It could be applied to a fun toy such as a face tracking owl. As long as a face is detectable, the eyes of the owl could be made to move, following the face movement. Alternatively, equipping a toy with an alarm so that when it detects a face, an appropriate status LED or sound effect will be triggered. As a result, it could be adopted as a watchdog for auto audio playback with various “Welcome” messages or designed into in a plush animal toy to play specific animal sounds. In addition, the SoC is also capable of performing unique face ID recognition. This provides the toy with owner identification features. Once the toy is unpacked, the child can start to train the toy to memorize his or her face and even input a voice recording of their name. The toy will identify its owner by playing back the name after training. All the detection and recognition operations are done locally with no internet connect requirements.Machine Vision Learning
Computer Vision a field that combines computer vision and image processing are used for assessing the skill level of expert learners on self-learning platforms. For example, Quality Control and Inspection: Machine vision systems inspect parts and products to identify defects, measure dimensions, and ensure consistency improving quality control in manufacturing processes. Driver Monitoring System(DMS): Vehicles capture real-time data through cameras, lidar and radar sensors to sense their surroundings. Machine vision plays a vital role in detecting objects, pedestrians, road signs and lane markings through machine learning algorithms.Robotics and Automation:
Machine vision guides robots through tasks, ensuring precise positioning and reducing human error. Robots equipped with machine vision systems can locate and manipulate objects in complex environments.Development Kit Online
The
AICM1001 camera module's development board is designed as a complete
system that can work independently. It's SPI Flash memory can be
updated to provide the required detection or recognition features.
Evaluation board is designed for engineering development purposes with a small system board which gives sufficient GPIOs for debug purposes. It is defined as a simulation system board for different function requirements. The developer could use it for early stage prototyping and working sample development. Once coding has been fine tuned and optimized using this engineering board, the production board can use the same verified code enabling the developer to proceed with functional verification with minimum additional effort.
Evaluation board is designed for engineering development purposes with a small system board which gives sufficient GPIOs for debug purposes. It is defined as a simulation system board for different function requirements. The developer could use it for early stage prototyping and working sample development. Once coding has been fine tuned and optimized using this engineering board, the production board can use the same verified code enabling the developer to proceed with functional verification with minimum additional effort.
Custom Camera Module Design and Integration
Your Guide to Board Camera Customization and Optimization
Whether you're building a smart device, industrial machine, or medical equipment, the right camera module can greatly enhance product performance. This guide walks you through the key factors and processes in customizing your own camera modules.
1. Define Your Requirements
- Lens Type: Fixed-focus, autofocus, or manual.
- Sensor: CMOS/CCD based on image quality, price, and availability.
- Interface: USB, MIPI, or Parallel depending on your application.
- Board Size: Tailored to fit product dimensions.
- Resolution: From 0.3MP to 20MP depending on image detail needs.
- Field of View (FOV): Choose wide-angle or narrow FOV based on use case.
2. Choose the Right Components
- Sensor Chip: Sony, OmniVision, or Onsemi sensors for specific imaging needs.
- Lens Mount: S-Mount (M12), CS Mount, or fixed lens holder.
- IR Filter: IR-cut for daylight use or IR-pass for night vision.
- Connector: Pin headers, FPC cables, or USB interface board.
Not sure which sensor or lens combination is right for your application?
👉 Contact Us to start your custom camera module consultation.
3. Evaluate Annual Volume
Custom camera modules usually require a minimum order quantity (MOQ). If your Estimated Annual Usage (EAU) is over 500 units, custom development becomes feasible and cost-effective.
4. Testing & Integration
- Driver Support: Ensure compatibility with Windows, Linux, or Android.
- Firmware Tuning: Adjust white balance, exposure, gain, sharpness.
- Prototyping: Request evaluation samples to test integration.
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