Making Vehicles Intelligent and Roads Safer
Leading Technology Company In Automotive Innovation
Founded in Cape Town South Africa in 2017, Sensorit is a deep technology startup innovating in the automotive industry. We are developing state-of-the-art technology that combines sensor technology, machine learning, artificial intelligence and software solutions. Preparing Africa for an Autonomous Future.
Amehlo gathers, aggregates, and analyses environmental data using Synthetic Aperture Radar, Depth Optical Sensor, Active Radar, and LiDAR.
Data that frames AI gathers:
- Road markings
- Road condition
- Traffic signs
- Electricity Network
- Plumbing Network
- Below road surface object
Smart Rear View Mirror
The Sensorit Smart Rear View Mirror is a flagship product, that bridges the gap between high-end and low-end vehicles. It isolates the evolution of technology from the car, retrofittable to any vehicle with a 12V outlet.
- ADAS System
- Dash Cam recording
- In-Car Wifi
- Remote trip monitoring
- Navigation System
- Infotainment System
RadCom is an infrastructure to everything communication protocol that can be deployed at a traffic intersection for long-term data collection. The system can handle data efficiently, allowing for real-time edge processing before uploading the results to a cloud server for data harvesting and visualization.
- Smart traffic monitoring
- Vehicle counting
- Weather and road condition monitoring
- Object Velocity Computation
We use Machine vision (MV) as methods used to provide imaging-based analysis of your surroundings.
Naturally our insights provide labelled data to be used by autonomous institutions and research partners.
Internet of Things (IoT)
Building solutions that leverage IoT technology to connect and streamline devices, enhancing data collection and operational intelligence.
We build systems that can learn from data, identify patterns and make decisions with minimal human intervention.
Rdar & Signal Processing
Our experience in DSP applications include audio and speech processing, sonar, radar and other sensor array processing.
Through our learnings in the corrolation of multiple sensors types that our meta-analyses modaling reduces your down time.