Real Time Video Enhancement

ProHawkTM technology utilizes powerful processors and software algorithms to enhance video images captured under challenging circumstances, every-time and in real-time.

Our patented products minimize the effects of severe climatic conditions, unfavorable lighting and other environmental difficulties. The ProHawkTM solutions enhance many types of imagery including conventional video, high definition video, infrared, thermal and even medical images

Real Time Vídeo Enhancement

Our advanced, patent protected technology works by analyzing and reconstructing every frame of a video stream, pixel by pixel, all in real time. It also enhances pre-recorded video.

Game Changing Technology

The ProHawkTM products contain context sensitive, adaptive algorithms and processes that are tightly integrated into our hardware platforms. This game changing technology from i-Acritas delivers maximum actionable detail to the video system user.

Plug and Play Connectivity

ProHawkTM is a plug and play, stand-alone video processing system designed for commercial industries. It is easily integrated with your existing cameras and imaging systems and can be installed in a matter of minutes



The ProHawkTM image enhancement system is the most comprehensive and effective solution in the market. It works by disassembling, processing and reassembling, every pixel of every image, in every frame, all in real-time.

Our products are plug and play and deliver unrivaled Multi-Channel Concurrent Enhancement capabilities. ProHawkTM products leverage a powerful Field Programmable Gate Array (FPGA) processor which runs the latest generation of our Detail Enhancement Filter (DEF) Algorithm. Our products are patent protected and our core algorithms are fully encrypted.

ProHawkTM is a highly optimized platform for dynamic range enhancement and contrast optimization which increases the visible content of images. The Digital Enhancement Filter (DEF) combines six interconnected processes to deliver the highest quality enhancement:

Dynamic Range Enhancement – Using density histogram analysis in an innovative way to display the images hidden in both the bright and dark areas of the frame and optimize contrast. Haze Reduction – The DEF algorithm converges the visual gradient to minimize the effect of haze, mist, fog, dust and smoke.

Contextual Enhancement – DEF identifies the color in the over- and under-exposed areas of the image, delivering improved color representation.

Edge Sharpening – The DEF algorithm reviews each pixel together with contiguous pixels for significant color and brightness changes, generating unrivaled edge sharpening and enhancing the detail in the resultant image.

Rapid Movement Detection – DEF allows the user to reduce the impact of rapid movement on the image. This minimizes the effects of rain, drizzle and snow.

Visual Noise Reduction – Minimizes the impact of “Noise” during high levels of enhancement.


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