VCSBC EvoCam
Intelligent Embedded Vision System with MediaTek Genio 510
Designed for fast and easy vision
integration into your smart devices
VCSBC EvoCam is an all-in-one smart embedded camerafor flexible edge AI and vision applications. It combines all components for imageacquisitionand image processing on a tiny 65 x 40 mm board. The embedded camera can be configured with various image sensors, integrated directly onboard or with one or two remote-head cameras.
The VC EvoCam is equipped with the MediaTek Genio 510 edge AI processor. A 100-pin board-to-board connector enables integration and customization through interface boards. The camera features a standard Debian Linux OS for fast and easy programming.
- All-in-one smart embedded camera, tiny 65 x 40 mm
- Powerful, energy-efficient MediaTek Genio 510 processor
- Available with VC MIPI Image Sensors, onboard or remote-head
- Interface boards for easy adaption and integration
VCSBC EvoCam: ready-to-deploy
Embedded Vision Camera as tiny as 65 x 40 mm
-
Various Image Sensors
- From VC MIPI Portfolio
- 0,2-20+ MPixel
- Global Shutter / Rolling Shutter / Global Reset
-
100 Pin Connector
- For interface boards
- I/Os, i²C, USB, Ethernet, Video-DSI, PCIe etc.
-
MediaTek Genio 510
- 2x Arm Cortex-A78, 4x Arm Cortex-A55
- ARM Mali-GPU, MediaTek NPU (3,2 TOPS)
- up to 2 GByte RAM, 16 GByte Flash, SD 3.0
-
Ultra Compact
- Tiny 65 x 40 mm
Three Versions – one flexible embedded smart camera series
VC Evo Cam
With onboard image sensor
VCSBC EvoCam IMX900 etc.
VC Evo Cam
Remote Head
With remote-head image sensor
VCSBC EvoCam RH IMX900 etc.
VC Evo Cam
2x Remote Head
With two remote-head image sensors
VCSBC EvoCam RH-2 IMX900 etc.
Which version of the VC EvoCam best suits your smart device or embedded vision application?
We are happy to advise you on selection and configuration and support you with design-in and development of interface boards.
Technical details
Processor
MediaTek Genio510
CPU:
2x Arm Cortex-A78 @ 2.0 GHz
4x Arm Cortex-A55 @ 2.0 GHz
GPU:
Arm Mali-G57 MC2, 950 MHz
NPU:
MediaTek 5. Gen NPU, 3.2 TOPS
2x ISP:
Single camera: 32MP @ 30fps
Dual camera: 16MP + 16MP @ 30fps
Camera
Image Sensors from VC MIPI Camera Portfolio
0,2-24+ MPixel
Global Shutter, Global Reset- / Rolling Shutter
SONY Pregius / Starvis:
IMX900 / IMX296 / IMX568 / IMX565 / IMX462 / IMX335 etc.
Individual image sensors on request
Storage
RAM:
up to 8 GByte
Storage:
up to 64 GByte eMMC Flash
SD-Card Interface
Interfaces & I/Os
(100 Pin board-board connector)
Power
1x UART
2x I²C
1x USB 2.0
1x GigEthernet
1x µSD
1x MIPI-DSI
1x SPI
1x PCIx (1 lane)
Trigger-In / Flash-Out
Multiple GPIOs
Video Encoder / Decoder
H.264 / H.265 / VP9 / AV1 (4K60)MPEG4 / VP8 (FHD60)
Security
ARM TrustZone
Security Boot (RSA4096)
Crypto Engine
RNG
Interface Boards
Base:
ca. 50 x 40 mm
Power
I/Os
Trigger-In/Flash-Out
USB, RJ45/LAN
VC EvoCam Development Kit:
size tba
Supports all features/interfaces for prototyping
The next generation smart board-level camera
How can we support your embedded vision project? We are happy to discuss your ideas, wishes, and requirements with you!
30 years of smart cameras from Vision Components
In 2026, Vision Components celebrates its 30th anniversary. In 1996, the company presented the first industrial-grade smart camera, the VC11, developed by company founder Michael Engel. It established the principle of image processing directly on the camera as an alternative to large, expensive, and complicated PC-based systems. The VC11 was freely programmable with the VCRT real-time operating system developed by VC. It formed the basis for numerous successful vision sensors and standard products.
The VC EvoCam marks another milestone for simple and fast integration: it offers high computing power, supported by dedicated AI accelerators, and excellent energy efficiency; all combined with a favorable price-performance ratio and Debian Linux operating system. The VC EvoCam thus enables a wide range of embedded vision applications with classic algorithms and AI for traffic control, retail, logistics, industry, and medical technology.