e-EYE
A Set of Services, Accelerators, and Frameworks to
Fast-track the Development of
Intelligent Vision-based Solutions Powered by Edge-AI.
Intelligent video analytics based on AI algorithms and computer vision technology are finding omnipresent applications across industries as they enable real-time monitoring, quick response, and better decision-making. According to the latest research, the global market for intelligent video analytics is expected to reach $26B by 2023. The demand for edge-intelligence based video analytics will increase multifold, driven by emerging applications such as edge computing, autonomous driving, industrial machine vision and medical imaging.
e-EYE is a set of services, accelerators, and frameworks derived from our 25+ years of experience to fast-track the development of intelligent, vision-based solutions powered by Edge-AI. e-EYE drastically reduces development efforts and accelerates time-to-market allowing our customers to focus on breakthrough technology innovations.
Why eInfochips for Vision-based Solution?
Developed 100+ camera vision-based products across different industries such as Automotive, Industrial, Healthcare, Retail etc.
Designed scalable solutions to manage millions of edge nodes on edge and cloud
End-to-End video/image pipeline experience (capture, process, record, analyze, stream etc.)
Expertise around video analytics algorithms development, integration, testing, optimization and porting
In-house centre of excellence for camera image tuning services Accelerators/IPs – Reusable camera framework, APIs/microservices, RDKs, codecs, stacks, libraries etc.
In-depth experience across image sensors and optics (Sony, Samsung, Onsemi, OmniVision etc.)
Solution Highlights
- Multi-tenant federated architecture
- Flexible deployment – on-premise or cloud
- REST APIs, Video-on-Demand, quick ramp-up & ramp-down
- Multi-OS & browser support
- 20+ ready-to-use microservices
- Hardware platform-agnostic, ready to integrate framework
- Plug-n-play, customizable microservices-based architecture
- API support for camera configuration functionalities
- Easy integration with video analytics algorithms
- Low latency, lean memory footprint
- Ready to deploy 22+ typical industry use cases
- Competent team to develop custom algorithms
- Expertise across edge and cloud analytics
- Algorithm optimization/porting on target platforms
- Examples – Object/Pedestrian detection, people counting, face recognition, LPR,
- parking management, Intrusion/Perimeter, Queue management etc.
- End-to-end multimedia systems development
- Video pipeline expertise (capture/process/store/transmit, frame stitching, frame rate control)
- Comprehensive video codecs, drivers, interfaces, frameworks,
- SDKs, and protocols support
- Porting & optimization of multimedia frameworks
- Sensor characterization for major parameters
- Lens and color shading compensation
- Auto exposure and auto white balance tuning
- High-performance, high-quality image pipe tuning
- Subjective and custom image tuning
- Reference designs for IP cameras & NVRs
- RTP/RTSP Client/Server protocol stack
- HTTP live streaming server stack
- 264 HD AVC and SVC encoder
- Video container format (MP4, MPEG2TS)
- Video analytics libraries
Key Components of e-EYE
Our Industry Experience
Automotive
- ADAS applications (blind Spot, lane departure, cruise control)
- Surround-view cameras for parking assist systems
- Digital rear-view mirrors (e-Mirrors)
- Driver drowsiness detection systems
- ASPICE 3, ISO26262 (Functional Safety)
Aerospace/Defense
- Aircraft navigation & surveillance (runway safety, low visibility systems, turnaround operations)
- Aerial refueling monitoring systems
- UAVs/drones for remote sensing and aerial photography & mapping
- In-flight passenger monitoring systems
- DO254, DO178, AS9100
Smart Factories
- Manufacturing process workflow optimization
- Remote asset tracking and vandalism detection
- Line defects and pattern recognition for quality control
- Workforce safety and protection systems
Healthcare
- Telemedicine and remote consultations
- Endoscopy and minimally invasive surgery
- Medical imaging – radiology, ophthalmology
- Surgical navigation – real-time images and guidance
- Patient monitoring (vital signs, movements, occupancy)
Smart Cities
- Intelligent traffic management systems
- Road conditions monitoring (roadblocks, obstacles, emergency, weather conditions)
- Vehicle license plate / blacklisted vehicle recognition
- Infrastructure monitoring (perimeter, intrusion, loitering, face recognition, lost object, vandalism detection etc.)
Retail/Consumer
- Retail video analytics (supervisor detection, cart filled/count, inventory, perishable commodity etc.)
- Shopper-behavior and brand purchase analytics
- Queue management checkout optimization
- Vehicle parking management systems
