Artificial Intelligence
Bringing infinite possibilities to augment human creativity
Overview
Advancement in semiconductor solutions aided by accuracy of trained models brings the Artificial Intelligence closer to the human brain. The controlled accuracy and predictability of a machine with artificial intelligence soon will enable a doctorless surgery or a driverless vehicle a reality from the current infancy stage. Artificial Intelligence is collection of technologies that makes unbiased decisions based on the Sense, Learn and Act (SLA)
Mobiveil’s offering in Artificial Intelligence / Machine Language includes
- Model Training
- Deep Learning and optimized Matrix Multiplication Tensors
Video Analytics
With the maturity of Machine Learning / Artificial Intelligence (ML/AI) solutions, Computer Vision is becoming a reality in many fields like Digital Surveillance with Edge computing, Healthcare, Autonomous Vehicles to name a few.
Computer Vision
Current Market Share – $9.28bn, $48.32bn by 2023(Source – Globenewswire)
Video Analytics
Current Market Share – $2.77Bn, $8.55Bn by 2023(Source – Markets and Markets)
Computer Vision
Video Analytics
is the expected Market Share by 2023
Capabilities
OpenCV implementation
Video Streaming using RTSP
OpenCL solution to integrate FPGA, GPU based acceleration
Tensorflow, Caffe2, PyTorch – Neural Network Framework
Video Analytics solution using OpenVino for SmartCity solution
Codec implementation in FPGA for performance optimization– VP9, H.264, HEVC, Video Transcoding
What We Offer
1
- Hardware Development
2
- FPGA Acceleration – Encoder, decoder, Compression, Decompression, Transcoding
- Expertise with SDaccel (Xilinx), AOCL (Intel) tool
3
- Embedded Software, Device Driver development for Platforms
4
- Driver Development
5
- Open CL, OpenCV based Software implementation
6
- OpenVino based Video Analytics solutions – Training models, Inferences
- Training Models
- Improving Inference engine performance for different hardware
7
- Edge computing and Meta data transformation
8
- Cross platform migration