Indoor Occupancy Sensor, Blackfin
The Indoor Occupancy Sensor is an application that detects room or location occupancy for different types of user applications. Some examples are energy saving applications that control lights and air conditioning depending on occupancy. The Indoor Occupancy Sensor needs to identify people and not other moving objects such as papers, plants, fans.
トップへ
製品概要
機能と利点
- Cache: Both Instruction and Data Cache enabled
- MDMA: One channel Memory DMA is used
- Input Format:
UYVY422 in ITU-R BT.656 format or YUV420 planar format or UYVY422 raw progressive or Y only. - Output format:
Number of Detected Objects
Features of Detected Objects, such as Area, Bounding Rectangle Box, Centroid. - Algorithm:
Background Differencing and Motion Prediction Algorithm
Blob Merging based on size and spatial location. The code for merging is implemented in the application and hence completely configurable.
Occupancy estimator which will estimate the number of people in the Field of View of the sensor. The estimate is not an accurate people counter and will have errors. The errors are especially high when people are moving around. When people stabilize and stand/sit down the counter will stabilize to an estimate. The accuracy of the estimate depends on the size of a person (in pixels) as seen by the sensor and should be appropriately set by the GUI. - Code compatible across the Blackfin Processor Family ADSP-BF7xx
- Release Format: Real time and File I/O application code in C, Library.
- Diagnostic output status.
Output frames Reference/Background frame, Difference (change) detected frames
製品概要
Indoor Occupancy Sensor is designed to detect occupancy or presence of humans or vehicles in indoor spaces such as meeting rooms using Vision Sensors. The detection is used for smart switching off/on lights and lighting control for energy savings. It detects occupancy when people come into the field of view of the sensor and rejects other motion such as moving fans, balloons, swaying and other such movements.ライセンス
Each module supports the Analog Devices, Inc. (ADI) Blackfin or SHARC Processor family and is a licensed product that is available in object code format. Recipients must sign or accept a license agreement with ADI prior to being shipped or downloading the modules identified in the license agreement
パフォーマンス測定基準
MIPS summary:
MIPS measured using optimal memory layout, on ADZS-BF707 BLIP2 platform @ 30 fps. All code, data were placed in L1 memory where possible and rest was placed in cache. The frame state buffers were placed in L3 or L2 and stack was placed in L1scratch memory. 16KiB L1 instruction memory was configured as instruction cache and 32KiB of L1 data memory was configured as data cache.
"Data RAM" for one instance, includes Stack, Scratch, Instance/State for VGA resolution. “Constant Data Tables” for one instance, includes constants and constant tables. “Frame Buffer” for one instance of VGA resolution includes frame buffers (larger buffers in L3 memory) which are both state and scratch memory.(1 KiB = 1024 Bytes)
Data Cache and Instruction Cache are enabled. The cache is set in “write back” and “short cache” (DCBS=0) mode. Memory DMA is used with 64 bit DMA for ADSP-BF707.
Measurements done with CCLK=384 MHz, SCLK=192 MHz on ADSP-BF707.
| Memory (Bytes) | Performance | ||||||
| Test | Width Height | Code (KiB) | Data RAM (KiB) | Constant Data Tables (KiB) | Frame Buffer | MIPS (Average) | MIPS (Peak) |
| YUV420, 30 fps | 320 x 240 | 40.68 | 17.23 | 0.31 | 7264.6 | 182 | 193 |
| UYVY, Aptina Sensor Input on PPI | 640 x 480 | 40.68 | 17.23 | 0.31 | 7264.6 | 186 | 202 |
システム条件
- Windows 7 Professional/Enterprise/Ultimate (32 and 64-bit).
- Minimum of 2 GHz single core processor, 3.3 GHz dual core is recommended.
- Minimum of 1 GB memory (RAM), 4 GB is recommended.
- Minimum of 2 GB hard disk (HDD) space is required.
- CrossCore® Embedded Studio for Analog Devices Processors.
資料
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2次元画像処理に基づく人数のカウント2024/12/12
