Building enterprise-grade devices & solutions that operate reliably across longer timespan in demanding environments while providing rich features of a consumer device and real-time intelligence is the critical need for industrial solutions providers.
Multiple & ubiquitous connectivity methods, Power optimization, Edge computing & intelligence, Real-time anomaly detection & response, Longer end-of-life, Ruggedness, Geo regulations, Varied large/small form-factors, Cloud connectivity, Analytics, Deep learning/ML/AI, Security
Near-field, device-to-device and cellular communication for continuous tracking of asset location & condition in-premise, in-transit and outdoors
Hardware components function optimization, minimized & conditional processing for optimal consumption of battery power
Embedded logic processing in off-line & networked mode and data protocol transformations for real-time intelligence and cloud interfacing
Electronics and industrial design for target form-factors and chipset platforms for extended usage & support
As automobiles are turning into a form of consumer devices with interactions & intelligences never seen before, managing a number of parameters, H/w & S/w systems and algorithm integration & acceleration while ensuring compliance to auto standards becomes the critical need for automotive devices & solutions.
Vehicle systems (CAN, OBDII) integration, Cloud systems integration, In-vehicle connectivity, Auto grade open source stack, Hypervisors, Car APIs, Codecs – pre/post processing, streaming, Full pipeline, Specialized algorithms, AI/ML based deep learning algorithms, Hardware acceleration
Integration of automobile CAN bus into telematic systems and cloud integration for capturing and communicating vehicle & driving parameters
Auto-grade Linux, hardware accelerated BSP, Hypervisors and APIs for compliance to auto standards and accelerated development & integration
Codecs pre and post processing, camera full pipeline management, streaming and algorithm-driven intelligence for enriched infotainment
Deep learning algorithms, parallel processing and h/w acceleration with DSP, GPU etc. for event detection and advanced driver assistance (ADAS)
Advances in semiconductor and wireless technologies are enabling medical devices commonly found in diagnostics / imaging centers to be operated from mobile / remote locations. Optimizing the device operational parameters while ensuring functionality, safety and reliability is critical to the success of these portable & connected devices and solutions.
Small form-factor device design, HMI, Power optimization, Industry regulatory compliance, Hospital/Clinical applications integration, Image processing, Sensor integration, Cloud enablement, Hardware accelerated algorithm processing, Medical device specific BSPs and reference designs
Data (e.g. electrical activity) acquisition, processing and transmission to companion apps over near-field connectivity and to the cloud with cellular
Porting bio-sensor hub algorithms to DSP to accelerate processing, and for accurate & real-time measurement, monitoring and analysis
Integrating and customizing portable medical device based BSPs ensuring software traceability, quality management and regulatory requirements
Device interface design balancing function and ease of use and clinician / patient / administrator apps to manage end-to-end healthcare work flows
In a fast changing and dynamic consumer expectations of features, functionality and form-factors of devices and wearables, launching newer devices faster and adding new applications is critical for OEMs to retain/gain a competitive advantage. Besides, enabling newer conversational interfaces is fast becoming a norm.
Multiple & ubiquitous connectivity methods, Power optimization, Multi-media processing, Peripheral integration, Cloud connectivity, Deep learning/ML/AI, Security, HMI, App user interface …
Wireless connectivity (BT, WiFi, NFC, 4G etc.) enablement for faster communicating a variety of information – data, video, voice, image etc.
Integrating a variety of peripherals – newer displays, cameras, sensors etc. and optimizing power consumption for rich functionality and experience
Optimization on a wearable specific OS (Android Wear, RTOS etc.) and custom UI for ease of use and optimized power consumption
ML, NLP, multi-media and voice control for new and conversational interfaces with audio, video and gestures
