## 9 Conclusions and Future Scope
Finally, we point out that promising future directions in this research field are not limited to the aforementioned aspects, and the research in this field is still far from complete. Conceptualization, C.B.M. and M.F.H. ; methodology, C.B.M. and M.F.H. ; software, C.B.M., M.F.H., and N.D.B. ; validation, C.B.M., M.F.H., and N.D.B. ; formal analysis, C.B.M., M.F.H., and N.D.B. ; investigation, C.B.M. and M.F.H. ; resources, C.B.M. and M.F.H. ; data curation, C.B.M. and M.F.H. ; writing--original draft preparation. C.B.M., M.F.H., and N.D.B. ; writing--review and editing, C.B.M., M.F.H., N.D.B., and Z.W.G. ; visualization, M.F.H. and N.D.B. ; supervision, N.D.B., M.F.H., and Z.W.G. ; project administration, C.B.M., M.F.H., N.D.B., and Z.W.G. ; funding acquisition, Z.W.G. and N.D.B. All authors have read and agreed to the published version of the manuscript. This research was supported by the Energy Cloud R&D Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT [2019M3 FZA1073164]. The authors declare no conflict of interest. The following abbreviations are used in this manuscript:  
2D 2-dimensional  
ALPR  Automatic License Plate Recognition  
AP  Average Precision  
API  Application Program Interface  
ARD  Acute Respiratory Disease  
ARM  Advanced RISC Machine  
AV  Autonomous Vehicle  
BB  Bounding Box  
BCNN  Binarized deep Convolutional Neural Network  
BLE  Bluetooth Low Energy  
BSP  Board Support Package  
CAD  Computer Aided Design  
CAN  Controller Area Network  
CNN  Convolutional Neural Network  
COCO  Common Objects in Context  
COPD  Chronic Obstructive Pulmonary Disease  
CPU  Central Processing Unit  
CUDA  Compute Unified Device Architecture  
CV  Computer Vision  
DBN  Deep Belief Network  
DCNN  Deep Convolutional Neural Network  
DDR  Double Data Rate  
DNN  Deep Neural Network  
DPM  Deformable Part-based Model  
FC  Fully-Convolutional  
FCN  Fully-Convolutional Network  
FDDB  Face Detection Dataset and Benchmark  
FPGA  Field Programmable Gate Array  
FPN  Feature Pyramid Networks  
FPS  Frames Per SecondGANGenerative Adversarial Network  
GPIOGeneral Purpose Input/Output  
GPUGraphics Processing Unit  
HCIHuman-Computer Interaction  
HDMIHigh-Definition Multimedia Interface  
HLSHTP Live Streaming  
HOGHistogram of Oriented Gradients  
HTTPHypertext Transfer Protocol  
I2 CInter-IC  
I2 SInter-IC Sound  
ICFIntegral Channel Features  
IEEEInstitute of Electrical and Electronics Engineers  
ILSVRCImageNet Large Scale Visual Recognition Challenge  
IoTInternet-of-things  
IOUIntersection over Union  
ISEIntegrated Synthesis Environment  
ITSIntelligent Transportation Systems  
LANLocal Area Network  
mAPmean Average Precision  
MRIMagnetic Resonance Imaging  
MS-COCOMicro Common Objects in Context  
PASCALaProcedural Programming Language  
PCIPeripheral Component Interconnect  
PLProgrammable Logic  
PoEPower over Ethernet  
PSProcessing System  
PVANET a lightweight feature extraction network architecture for object detection  
RAMRandom Access Memory  
RBMRestricted Boltzmann Machine  
RCNNRegions with Convolutional Neural Networks  
RESTRepresentational State Transfer  
RFCNRegion-based Fully-Convolutional Networks  
RGBRed Green Blue  
ROIRegion of Interest  
RPNRegion Proposal Network  
SVMSupport Vector Machine  
SDSecure Digital  
SDKSoftware Development Kit  
SIFTScale-Invariant Feature Transform  
SoCSystem-on-Chip  
SPISerial Peripheral Interface  
SPPSpatial Pyramid Pooling  
SPPNetSpatial Pyramid Pooling Network  
SSDSingle Shot Multi-Box Detector  
SUNScene UNderstanding dataset  
SVMSupport Vector Machine  
TPPLTask-driven Progressive Part Localization  
TTLTransistor-Transistor Logic  
UAVUnmanned Aerial Vehicles  
USBUniversal Serial Bus  
VHRVery High Resolution  
VJViola-Jones  
VOCVisual Object Classes Challenge  
YOLOYou Only Look Once