
Analog Devices Inc. ADZS-BF707-BLIP2 Evaluation Board
Analog Devices ADZS-BF707-BLIP2 Evaluation Board demonstrates the features and capabilities of the ADSP-BF707 400MHz Blackfin® Embedded Processor. This ADZS-BF707-BLIP2 is a newly developed, low-power embedded computer vision platform targeting a wide array of real-time sensing applications.The Blackfin Low Power Imaging Platform (BLIP) integrates the ADSP-BF707 Blackfin processor and Analog Devices' software code libraries. These code libraries are optimized to detect the presence and behavior of humans or vehicles in indoor and outdoor environments. The BLIP hardware platform is delivered preloaded with the occupancy software module. The occupancy software module is MISRA-C compliant and includes C reference code for the primitives and wrapper code layers for OpenCV-like APIs.
The BLIP performs intelligent motion sensing, people counting, vehicle detection, and face detection deployable in both indoor and outdoor cases. This advanced detection operation significantly improves performance compared to single-pixel PIR sensor solutions. Complete with an intuitive configuration GUI, ADZS-BF707-BLIP2 can connect to a camera chip and provide real-time analysis of captured video, as well as video output/display using an onboard USB port.
Features
- ADSP-BF707BBCZ-4 processor
- Imagers
- OVM7692 (VGA SoC sensor with integrated lens)
- ASX-340 (VGA sensor)
- Memory
- 256MB for MT46H128M16LFB7
- 32MB for W25Q32 flash
- Power management
- ADP2370, ADP2230, ADP220, ADP195, and ADM6315
- FT232RQ interface
- VOS 3.2.0 application software (indoor/outdoor)
Specifications
- Power consumption <1W
- 3.2V to 15V supply voltage
- 2.5 inches × 3.5 inches form factor
Kit Contents
- DZS-BF707-BLIP2 board
- ICE-1000 emulator
- Tripod
- M12 lens
- Universal 5V DC power
- USB Mini-B to Standard-A cable
- USB Micro-B to Standard-A cable
- Release note
Applications
- Indoor/outdoor lighting control
- HVAC system control
- Access control systems
- Premise monitoring systems
- In-vehicle occupancy detection
- Logistics/retail analytics