FRAMOS FSM:FSA Embedded Image Sensor Ecosystem

FRAMOS FSM:FSA Embedded Image Sensor Ecosystem features dual-board sensor modules that are the perfect foundation for embedded vision systems and applications. The FRAMOS dual-board sensor modules are integrated modules comprising two components: the FRAMOS Sensor Modules (FSM) (image sensor location) and the FRAMOS Sensor Adapter (FSA) that forwards the sensor data. FSM:FSAs come with many best-in-class image sensors that offer the freedom and flexibility to choose the module that perfectly matches the requirements of a user's application. The modular concept enables users to choose, evaluate, and change hardware/software to design an embedded vision application to perfection.

Features

Sensor portfolio comprises a large number of Sony image sensors, such as the Starvis 2 or Pregius S technology
- Ranges from 0.4MP to 24MP
- Attached to the FSM boards
- Supports a wide range of application scenarios
  - low-light environments
  - High-speed image capture applications
  - High-resolution systems
FSM:GO modules
- Deployable across various embedded vision applications
- NVIDIA Jetson and NXP i.MX8MP supported
- Effortless integration
- Integrated FRAMOS PixelMate connector
- Sony Starvis2 or Pregius S color image sensors
FRAMOS delivers drivers, sources, and software
- Robust and flexible foundation for running, tuning, and configuring the camera modules
- Ready-to-use demo drivers are delivered for selected lead platforms providing images immediately
Plug and play with the NVIDIA® Jetson™ family: driver and ISP tuning for all sensors

FRAMOS Sensor Adapter (FSA) boards
- Attached to FSM boards directly or via cable
- Contains the control logic for the imager, and some can convert the incoming sensor data from the FSM between commonly used protocols such as MIPI CSI-2, LVDS, or SLVS-EC, depending on the selected sensor based on the requirements of your vision application
- Comes with a standardized interface, PixelMate™, that gives users the freedom needed in the design process and when used in the final system
- Option to connect the FSA to the FSM via PixelMate over distance gives vision system engineers the freedom to decide where the control logic with power sequencing, clock, and trigger will be placed in the system
- Removes heat from the sensor, thus reducing image noise and resulting in better image quality

Applications

Embedded vision systems
Security and surveillance
Robotics and drones
Streaming and conferencing
Sport analytics
Mapping and digital twins
Industrial
Barcode scanning
Automated inspections

Embedded vision development
Prototyping and testing
Automotive and Advanced Driver-Assistance Systems (ADAS)
Medical imaging and diagnostics
Smart cities
Internet of Things (IoT)
Augmented Reality (AR) and Virtual Reality (VR) systems
Artificial intelligence and machine learning

FSM Ecosystem

Infographic - FRAMOS FSM:FSA Embedded Image Sensor Ecosystem

Sensor Lineup

Chart - FRAMOS FSM:FSA Embedded Image Sensor Ecosystem

FRAMOS Sensor Adapters (FSA)

FRAMOS FSAs feature individual voltages, reference clocks, and processing functions like data conversion and signal processing. The user can implement the FSAs at any point in the final system: individually, close to the sensor, on the processor board, or mixed in different ways.

FRAMOS Processor Adapters (FPA)

FRAMOS FPAs cover individual connectors, signals, voltages, and communication channels to 3rd-party processor boards. The adapters (an individual part) are the reference to implement the image sensing front-end into the user's central processing system. The FPA boards make it plug-and-play to use the sensor module portfolio to work with many processor boards, providing an ecosystem standard interface on various processor boards.

From FSM:FSA to Market Solution

Every Embedded Vision system has specific requirements that, in most cases, only a custom solution can solve. The integrated imaging application is realized by connecting image sensors directly to System-on-Chips (SoCs), providing outstanding efficiency by integrating powerful micro-processors with dedicated ISP, GPU, and AI engines into one device. With the FRAMOS Embedded Vision Ecosystem of interchangeable components, vision engineers and developers can quickly and easily connect those components and develop products from concept to market.