Problem Statement

The Covid-19 pandemic created an urgency to develop and deploy solutions such as Thermal cameras for mass fever detection at public places to mitigate the spread of the virus. Hence, there was a need for a vendor with rich capabilities in camera design, calibration, system integration along with AI capabilities.

Customer Requirements

One of the customers wanted to design and develop a high end AI- driven thermal camera that can be placed at the entry of public places such as offices, malls, airports etc. for mass fever detection, detecting sick and infectious people and other use cases such as social distancing, mask detection, etc.

Key Challenges

Selection of optical Camera: Achieving HDR feature (>100Db) with 1080p/ 4K image sensor.
Selection of IR cut filter and narrow FOV lens.

Selection of Thermal Camera: The selection of camera bridge was challenging, hence VVDN used crosslink FPGA to convert 14 bits CMOP to MIPI-CSI interface.

Selection of Audio DSP: Hardware complexity (placement of mic, angle of arrival, reduction of noise) for different applications.

Software: Creating the APIs for various thermal camera parameters.
Integration of all the modules (Thermal camera, Optical camera, audio DSP, SSD, Wi-Fi, Bluetooth, LTE, Display port, Type C power delivery, USB hub, POE, etc.)