C# ImageSearch

using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Drawing;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using System.Windows.Forms;
using System.Diagnostics;
using System.Threading;
using System.Runtime.InteropServices;
using AutoItX3Lib;

namespace Automate
{
    public partial class Form1 : Form
    {
        private static Point[] points = new Point[] {
            new Point(415, 661),
            new Point(1575, 457),
            new Point(415, 661),
            new Point(415, 661),
            new Point(1575, 457),
            new Point(1575, 457),
        };

        Autoit Cautoit = new Autoit();
        public int numFailure;

        public Form1()
        {
            InitializeComponent();
        }


        [DllImport("ImageSearchDLL.dll")]
        public static extern IntPtr ImageSearch(int x, int y, int right, int bottom, [MarshalAs(UnmanagedType.LPStr)]string imagePath);

        public static string[] UseImageSearch(string imgPath, string tolerance)
        {
            imgPath = "*" + tolerance + " " + imgPath;

            IntPtr result = ImageSearch(0, 0, 1920, 1080, imgPath);
            string res = Marshal.PtrToStringAnsi(result);

            if (res[0] == '0') return null;

            string[] data = res.Split('|');

            int x; int y;
            int.TryParse(data[1], out x);
            int.TryParse(data[2], out y);

            return data;
        }

        private void button1_Click(object sender, EventArgs e)
        {
            Stopwatch timer = new Stopwatch();
            timer.Start();
            var numberOfFailures = 0;
            while (timer.Elapsed.TotalSeconds < 10000)
            {

                    foreach (Point point in points)
                    {
                        if (!Cautoit.myResult(point, CalculateCounter(numberOfFailures)))
                            numberOfFailures++;
                        else
                            numberOfFailures = 0;
                    }

            }
            timer.Stop();
        }

        private int CalculateCounter(int numberOfFailures) => (int)Math.Pow(2, numberOfFailures);

    }

    public struct Point
    {
        public int x;
        public int y;
        public Point(int x_, int y_)
        {
            x = x_;
            y = y_;
        }
    }
}
namespace Automate
{
    public class Autoit
    {
        [DllImport("ImageSearchDLL32.dll")]
        public static extern IntPtr ImageSearch(int x, int y, int right, int bottom, [MarshalAs(UnmanagedType.LPStr)]string imagePath);
        public static string[] UseImageSearch(string imgPath, string tolerance)
        {
            imgPath = "*" + tolerance + " " + imgPath;

            IntPtr result = ImageSearch(0, 0, 1920, 1080, imgPath);
            string res = Marshal.PtrToStringAnsi(result);

            if (res[0] == '0') return null;

            string[] data = res.Split('|');

            int x; int y;
            int.TryParse(data[1], out x);
            int.TryParse(data[2], out y);

            return data;
        }

        AutoItX3 auto = new AutoItX3();

        public void mClick(string ClickSide, int x, int y, int manyClick, int Speed)
        {
            auto.MouseClick(ClickSide, x, y, manyClick, Speed);
        }

        public void mSleep(int millisecondi)
        {
            auto.Sleep(millisecondi);
        }


        public bool myResult(Point point, int Counter)
        {
            Autoit Cautoit = new Autoit();
            string image = (@"C:\winningNumber.bmp");
            string[] result = UseImageSearch(image, "30");
            Cautoit.mClick("LEFT", point.x, point.y, Counter, 1);
            Cautoit.mSleep(15000);

            return result != null;
        }
    }
}